Tag Archive: Learning
Machine Learning and Data Science eBook and Course Bundle for $46
KEY FEATURES
Ansible is an open source automation platform that assists organizations with tasks such as configuration management, application deployment, orchestration, and task automation. In this book, you’ll learn about the fundamentals and practical aspects of Ansible 2, getting accustomed to new features and learning how to integrate with cloud platforms like Amazon Web Services. By the end, you’ll be able to leverage Ansible parameters to expedite tasks for your organization. Or yourself.
- Access 240 pages of content 24/7
- Set up Ansible 2 & an Ansible 2 project in a future-proof way
- Perform basic operations w/ Ansible 2 such as creating, copying, moving, changing, & deleting files
- Deploy complete cloud environments using Ansible 2 on AWS & DigitalOcean
- Explore complex operations w/ Ansible 2
- Develop & test Ansible playbooks
- Write a custom module & test it
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments, stressing cooperation between different roles and how they can work together more closely. Through this book, you’ll learn how DevOps affects architecture, starting by creating a sample enterprise Java application that you will continue to work with throughout the following chapters.
- Access 240 pages of content 24/7
- Understand how all DevOps systems fit together to form a larger whole
- Set up & familiarize yourself w/ all the tools you need to be efficient w/ DevOps
- Design an application that is suitable for continuous deployment systems
- Store & manage your code effectively using different options such as Git, Gerrit, & Gitlab
- Configure a job to build a sample CRUD application
- Test the code using automated regression testing w/ Jenkins Selenium
- Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, & Vagrant
- Monitor the health of your code w/ Nagios, Munin, & Graphite
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
There has been a recent explosion in tools that allow you to redefine the delivery of infrastructure and applications, using a combination of automation and testing to deliver continuous deployment. This book shows you how to use some of the newest and most exciting tools to revolutionize the way you deliver applications and software. By tackling real-world issues, you’ll be guided through a huge variety of tools.
- Access 334 pages of content 24/7
- Manage, use, & work w/ code in the Git version management system
- Create hosts automatically using a simple combination of TFTP, DHCP, & pre-seeds
- Implement virtual hosts using the ubiquitous VMware ESXi hypervisor
- Control configuration using Ansible
- Develop powerful, consistent, & portable containers using Docker
- Track trends, discover data, & monitor key systems using InfluxDB, syslog, & Sensu
- Deal efficiently w/ powerful cloud infrastructures using AWS Infrastructure & the Heroku Platform as services
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Machine learning is transforming the way businesses operate, and being able to understand trends and patterns in complex data is becoming critical for success. Python can help you deliver key insights into your data by running unique algorithms and statistical models. Covering a wide range of powerful Python libraries, this book will get you up to speed with machine learning.
- Access 454 pages of content 24/7
- Find out how different machine learning techniques can be used to answer different data analysis questions
- Learn how to build neural networks using Python libraries & tools such as Keras & Theano
- Write clean & elegant Python code to optimize the strength of machine learning algorithms
- Discover how to embed your machine learning model in a web application
- Predict continuous target outcomes using regression analysis
- Uncover hidden patterns & structures in data w/ clustering
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for data scientists. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide will help you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.
- Access 294 pages of content 24/7
- Manage data & perform linear algebra in Python
- Derive inferences from the analysis by performing inferential statistics
- Solve data science problems in Python
- Create high-end visualizations using Python
- Evaluate & apply the linear regression technique to estimate the relationships among variables
- Build recommendation engines w/ the various collaborative filtering algorithms
- Apply ensemble methods to improve your predictions
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Data analysis is more important in business than ever and data scientists are getting paid the big bucks to help companies make better informed decisions. This book explains basic data algorithms using hands-on machine learning techniques. You’ll perform data-driven innovation processing for several types of data such as text, images, social network graphs, documents, and more.
- Access 338 pages of content 24/7
- Acquire, format, & visualize your data
- Build an image-similarity search engine
- Generate meaningful visualizations that anyone can understand
- Get started w/ analyzing social network graphs
- Find out how to implement sentiment text analysis
- Install data analysis tools such as Pandas, MongoDB, & Apache Spark
- Implement machine learning algorithms such as classification or forecasting
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course’s end, you’ll have a valuable skill that companies are clamoring to hire for.
- Access 21 lectures & 2 hours of content 24/7
- Discover data mining techniques & the Python libraries used for data mining
- Tackle notorious data mining problems to get a concrete understanding of these techniques
- Understand the process of cleaning data & the steps involved in filtering out noise
- Build an intelligent application that makes predictions from data
- Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
- Predict house prices & the number of TV show viewers
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.
KEY FEATURES
Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you’ll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects.
- Access 26 lectures & 3 hours of content 24/7
- Work on six independent projects to help you master machine learning in Python
- Cover concepts such as classification, regression, clustering, & more
- Apply various machine learning algorithms
- Master Python’s packages & libraries to facilitate computation
- Implement your own machine learning models
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.
Machine Learning with Python Course and E-Book Bundle for $39
KEY FEATURES
Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models, and is one of the most important new frontiers in technology. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. Over this course you’ll explore some of the possibilities of deep learning, and how to use TensorFlow to process data more effectively than ever.
- Access 22 lectures & 2 hours of content 24/7
- Discover the efficiency & simplicity of TensorFlow
- Process & change how you look at data
- Sift for hidden layers of abstraction using raw data
- Train your machine to craft new features to make sense of deeper layers of data
- Explore logistic regression, convolutional neural networks, recurrent neural networks, high level interfaces, & more
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Dan Van Boxel is a Data Scientist and Machine Learning Engineer with over 10 years of experience. He is most well-known for “Dan Does Data,” a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research and presented findings at the Transportation Research Board and other academic journals.
KEY FEATURES
Python is the general purpose, multi-paradigm programming language that many professionals consider one of the best beginner language due its relative simplicity and applicability to many coding arenas. This course assumes no prior experience and helps you dive into Python fundamentals to come to grips with this popular language and start your coding odyssey off right.
- Access 43 lectures & 4.5 hours of content 24/7
- Learn variables, numbers, strings, & more essential components of Python
- Make decisions on your programs w/ conditional statements
- See how functions play a major role in providing a high degree of code recycling
- Create modules in Python
- Perform image manipulations w/ Python
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
William Fiset is a Mathematics and Computer Science Honors student at Mount Allison University with in interest in competitive programming. William has been a Python developer for +4 years, starting his early Python experience with game development. He owns a popular YouTube channel that teaches Python to beginners and the basics of game development.
KEY FEATURES
You’ve seen deep learning everywhere, but you may not have realized it. This discipline is one of the leading solutions for image recognition, speech recognition, object recognition, and language translation – basically the tools you see Google roll out every day. Over this course, you’ll use Python to expand your deep learning knowledge to cover backpropagation and its ability to train neural networks.
- Access 19 lectures & 2 hours of content 24/7
- Train neural networks in deep learning & to understand automatic differentiation
- Cover convolutional & recurrent neural networks
- Build up the theory that covers supervised learning
- Integrate search & image recognition, & object processing
- Examine the performance of the sentimental analysis model
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Eder Santana is a PhD candidate in Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.
KEY FEATURES
Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course’s end, you’ll have a valuable skill that companies are clamoring to hire for.
- Access 21 lectures & 2 hours of content 24/7
- Discover data mining techniques & the Python libraries used for data mining
- Tackle notorious data mining problems to get a concrete understanding of these techniques
- Understand the process of cleaning data & the steps involved in filtering out noise
- Build an intelligent application that makes predictions from data
- Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
- Predict house prices & the number of TV show viewers
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.
KEY FEATURES
You see graphs all over the internet, the workplace, and your life – but do you ever stop to consider how all that data has been visualized? There are many tools and programs that data scientists use to visualize massive, disorganized sets of data. This e-book contains content from “Data Visualization: A Successful Design Process” by Andy Kirk, “Social Data Visualization with HTML5 and JavaScript” by Simon Timms,” and “Learning d3.js Data Visualization, Second Edition” by Andrew Rininsland and Swizec Teller, all professionally curated to give you an easy-to-follow track to master data visualization in your own work.
- Harness the power of D3 by building interactive & real-time data-driven web visualizations
- Find out how to use JavaScript to create compelling visualizations of social data
- Identify the purpose of your visualization & your project’s parameters to determine overriding design considerations across your project’s execution
- Apply critical thinking to visualization design & get intimate with your dataset to identify its potential visual characteristics
- Explore the various features of HTML5 to design creative visualizations
- Discover what data is available on Stack Overflow, Facebook, Twitter, & Google+
- Gain a solid understanding of the common D3 development idioms
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Get a complete introduction to the many uses of Python in this curated e-book drawing content from “Python 3 Object-Oriented Programming, Second Edition” by Dusty Phillips, “Learning Python Design Patterns, Second Edition” by Chetan Giridhar, and “Mastering Python Design Patterns” by Sakis Kasampalis. Once you’ve got your feet wet, you’ll focus in on the most common and useful design patterns from a Python perspective. By course’s end, you’ll have a complex understanding of designing patterns with Python, allowing you to develop better coding practices and create systems architectures.
- Discover what design patterns are & how to apply them to writing Python
- Implement objects in Python by creating classes & defining methods
- Separate related objects into a taxonomy of classes & describe the properties & behaviors of those objects via the class interface
- Understand when to use object-oriented features & when not to use them
- Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle, & the Open Close principle, & more
- Use Structural Design Patterns to find out how objects & classes interact to build larger applications
- Improve the productivity & code base of your application using Python design patterns
- Secure an interface using the Proxy pattern
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Consequently, professionals who can run machine learning systems are in high demand and are commanding high salaries. This e-book will help you get a grip on advanced Python techniques to design machine learning systems.
- Learn to write clean & elegant Python code that will optimize the strength of your algorithms
- Uncover hidden patterns & structures in data w/ clustering
- Improve accuracy & consistency of results using powerful feature engineering techniques
- Gain practical & theoretical understanding of cutting-edge deep learning algorithms
- Solve unique tasks by building models
- Come to grips w/ the machine learning design process
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Data science is one of the most in-demand fields today, and this e-book will guide you to becoming an efficient data science practitioner in Python. Once you’ve nailed down Python fundamentals, you’ll learn how to perform data analysis with Python in an example-driven way. From there, you’ll learn how to scale your knowledge to processing machine learning algorithms.
- Implement objects in Python by creating classes & defining methods
- Get acquainted w/ NumPy to use it w/ arrays & array-oriented computing in data analysis
- Create effective visualizations for presenting your data using Matplotlib
- Process & analyze data using the time series capabilities of pandas
- Interact w/ different kind of database systems, such as file, disk format, Mongo, & Redis
- Apply data mining concepts to real-world problems
- Compute on big data, including real-time data from the Internet
- Explore how to use different machine learning models to ask different questions of your data
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Python is one of the most popular programming languages today, enabling developers to write efficient, reusable code. Here, you’ll add Python to your repertoire, learning to set up your development environment, master use of its syntax, and much more. You’ll soon understand why engineers at startups like Dropbox rely on Python: it makes the process of creating and iterating upon apps a piece of cake.
- Master Python w/ 3 hours of content
- Build Python packages to efficiently create reusable code
- Creating tools & utility programs, and write code to automate software
- Distribute computation tasks across multiple processors
- Handle high I/O loads w/ asynchronous I/O for smoother performance
- Utilize Python’s metaprogramming & programmable syntax features
- Implement unit testing to write better code, faster
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done –whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
Rosetta Stone® Language Learning (Levels 1-5 Instant Download) for $159
KEY FEATURES
If your dream is to master a foreign language, there’s not better teacher than Rosetta Stone. With its intuitive, immersive method, Rosetta Stone will have you reading, writing, and speaking like a natural in no time. You’ll start by matching words with images just like when you learned your native language as a child. Then you’ll move onto interactive lessons where speech recognition technology works to evaluate and improve your accent with instant feedback. The reviews don’t lie, Rosetta Stone is the best way to master a second, third, or fourth language from home.
PC Magazine Editors’ Choice Award: Best Language-Learning Software
“Rosetta Stone TOTALe may be the next best thing to living in a country.” Wall Street Journal
- Learn a new language w/ the award-winning interactive software & proprietary speech-recognition technology that analyzes the words you say 100 times per second
- Develop your command of the language–read, write, speak & understand
- Learn basic conversational skills like shopping, ordering, taking a taxi, etc.
- Move onto advanced language skills like sharing opinions & discussing pop culture
- Enhance your learning on-the-go w/ Rosetta Stone mobile apps (3-month trial included)
- Take levels 1-5 to go from beginner to advanced
- Use the advanced speech engine to compare your accent to native speakers
- Get 12 live tutoring sessions w/ a native speaker
PRODUCT SPECS
Details & Requirements
- Includes access for up to 5 family members, 2 computers
- Learn at your own pace – this course that never expires!
Compatibility
- Windows 2000 or later
- Mac OS X 10.4.11 or later
- 1 GHz or faster CPU
- 512 MB RAM
- 600 MB free hard-drive space (per level)
- Internet or phone connection for activation
- Only available to residents of the United States, Australia, Europe, Brazil, Argentina, China, India, and Mexico.
Includes
- Rosetta Stone, US English Levels 1-5
- Serial code for digital download of product
- 90-day access to mobile language learning product
Rosetta Stone® Language Learning (Levels 1-5 Instant Download) for $249
KEY FEATURES
If your dream is to master a foreign language, there’s not better teacher than Rosetta Stone. With its intuitive, immersive method, Rosetta Stone will have you reading, writing, and speaking like a natural in no time. You’ll start by matching words with images just like when you learned your native language as a child. Then you’ll move onto interactive lessons where speech recognition technology works to evaluate and improve your accent with instant feedback. The reviews don’t lie, Rosetta Stone is the best way to master a second, third, or fourth language from home.
PC Magazine Editors’ Choice Award: Best Language-Learning Software
“Rosetta Stone TOTALe may be the next best thing to living in a country.” Wall Street Journal
- Learn a new language w/ the award-winning interactive software & proprietary speech-recognition technology that analyzes the words you say 100 times per second
- Develop your command of the language–read, write, speak & understand
- Learn basic conversational skills like shopping, ordering, taking a taxi, etc.
- Move onto advanced language skills like sharing opinions & discussing pop culture
- Enhance your learning on-the-go w/ Rosetta Stone mobile apps (3-month trial included)
- Take levels 1-5 to go from beginner to advanced
- Use the advanced speech engine to compare your accent to native speakers
- Get 12 live tutoring sessions w/ a native speaker
PRODUCT SPECS
Details & Requirements
- Includes access for up to 5 family members, 2 computers
- Learn at your own pace – this course that never expires!
Compatibility
- Windows 2000 or later
- Mac OS X 10.4.11 or later
- 1 GHz or faster CPU
- 512 MB RAM
- 600 MB free hard-drive space (per level)
- Internet or phone connection for activation
- Only available to residents of the United States, Australia, Europe, Brazil, Argentina, China, India, and Mexico.
Includes
- Rosetta Stone, US English Levels 1-5
- Serial code for digital download of product
- 90-day access to mobile language learning product
February 23, 2017 / by Marco / Advanced, Artificial, Bundle, Business', deals, Deep, design, entrepreneur, guide, intelligence, Learning, website
The Advanced Guide to Deep Learning and Artificial Intelligence Bundle for $42
KEY FEATURES
In this course, intended to expand upon your knowledge of neural networks and deep learning, you’ll harness these concepts for computer vision using convolutional neural networks. Going in-depth on the concept of convolution, you’ll discover its wide range of applications, from generating image effects to modeling artificial organs.
- Access 25 lectures & 3 hours of content 24/7
- Explore the StreetView House Number (SVHN) dataset using convolutional neural networks (CNNs)
- Build convolutional filters that can be applied to audio or imaging
- Extend deep neural networks w/ just a few functions
- Test CNNs written in both Theano & TensorFlow
Note: we strongly recommend taking The Deep Learning & Artificial Intelligence Introductory Bundle before this course.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory cnn_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
In this course, you’ll dig deep into deep learning, discussing principal components analysis and a popular nonlinear dimensionality reduction technique known as t-distributed stochastic neighbor embedding (t-SNE). From there you’ll learn about a special type of unsupervised neural network called the autoencoder, understanding how to link many together to get a better performance out of deep neural networks.
- Access 30 lectures & 3 hours of content 24/7
- Discuss restricted Boltzmann machines (RBMs) & how to pretrain supervised deep neural networks
- Learn about Gibbs sampling
- Use PCA & t-SNE on features learned by autoencoders & RBMs
- Understand the most modern deep learning developments
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory unsupervised_class2
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
A recurrent neural network is a class of artificial neural network where connections form a directed cycle, using their internal memory to process arbitrary sequences of inputs. This makes them capable of tasks like handwriting and speech recognition. In this course, you’ll explore this extremely expressive facet of deep learning and get up to speed on this revolutionary new advance.
- Access 32 lectures & 4 hours of content 24/7
- Get introduced to the Simple Recurrent Unit, also known as the Elman unit
- Extend the XOR problem as a parity problem
- Explore language modeling
- Learn Word2Vec to create word vectors or word embeddings
- Look at the long short-term memory unit (LSTM), & gated recurrent unit (GRU)
- Apply what you learn to practical problems like learning a language model from Wikipedia data
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory rnn_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
In this course you’ll explore advanced natural language processing – the field of computer science and AI that concerns interactions between computer and human languages. Over the course you’ll learn four new NLP architectures and explore classic NLP problems like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. By course’s end, you’ll have a firm grasp on natural language processing and its many applications.
- Access 40 lectures & 4.5 hours of content 24/7
- Discover Word2Vec & how it maps words to a vector space
- Explore GLoVe’s use of matrix factorization & how it contributes to recommendation systems
- Learn about recursive neural networks which will help solve the problem of negation in sentiment analysis
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: advanced, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory nlp_class2
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
February 14, 2017 / by Marco / Artificial, Bundle, Business', deals, design, entrepreneur, intelligence, Learning, machine, website
The Machine Learning and Artificial Intelligence Bundle for $39
KEY FEATURES
Over this course you will build multiple practical systems using natural language processing (NLP), the branch of machine learning and data science that deals with text and speech. You’ll start with a background on NLP before diving in, building a spam detector and a model for sentiment analysis in Python. Learning how to build these practical tools will give you an excellent window into the mechanisms that drive machine learning.
- Access 19 lectures & 2 hours of content 24/7
- Build a spam detector & sentiment analysis model that may be used to predict the stock market
- Learn practical tools & techniques like the natural language toolkit library & latent semantic analysis
- Create an article spinner from scratch that can be used as an SEO tool
Think this is cool? Check out the other bundles in this series, The Deep Learning and Artificial Intelligence Introductory Bundle, and The Advanced Guide to Deep Learning and Artificial Intelligence.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of Python and Numpy coding is expected
- All code for this course is available for download here, in the directory nlp_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
Data, in many forms, is presented in sequences: stock prices, language, credit scoring, etc. Being able to analyze them, therefore, is of invaluable importance. In this course you’ll learn a machine learning algorithm – the Hidden Markov Model – to model sequences effectively. You’ll also delve deeper into the many practical applications of Markov Models and Hidden Markov Models.
- Access 40 lectures & 4.5 hours of content 24/7
- Use gradient descent to solve for the optimal parameters of a Hidden Markov Model
- Learn how to work w/ sequences in Theano
- Calculate models of sickness & health
- Analyze how people interact w/ a website using Markov Models
- Explore Google’s PageRank algorithm
- Generate images & discuss smartphone autosuggestions using HMMs
Think this is cool? Check out the other bundles in this series, The Deep Learning and Artificial Intelligence Introductory Bundle, and The Advanced Guide to Deep Learning and Artificial Intelligence.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of Python and Numpy coding is expected
- All code for this course is available for download here, in the directory hmm_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
Cluster analysis is a staple of unsupervised machine learning and data science, used extensively for data mining and big data because it automatically finds patterns in data. The real-world applications for this process, then, are vital, making people who can implement cluster analyses a hot commodity in the business world. In this course, you’ll become a master of clustering.
- Access 22 lectures & 1.5 hours of content 24/7
- Discuss k-means clustering & hierarchical clustering
- Explore Gaussian mixture models & kernel density estimation
- Create your own labels on clusters
Think this is cool? Check out the other bundles in this series, The Deep Learning and Artificial Intelligence Introductory Bundle, and The Advanced Guide to Deep Learning and Artificial Intelligence.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of Python and Numpy coding is expected
- All code for this course is available for download here, in the directory unsupervised_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
Machine learning is entering the scientific mainstream faster than ever, being utilized to do tasks as diverse as analyzing medical images, driving cars automatically, and everything in between. Google has even announced that machine learning is one of their top focuses of innovation, making it an invaluable subject to begin studying now. In this course, you’ll dive into the basics of machine learning, the theory behind it, and its many practical applications so you can be on the forefront of a new technological wave.
- Access 33 lectures & 3 hours of content 24/7
- Discuss the K-Nearest Neighbor algorithm, its concepts, & implement it in code
- Explore the Naive Bayes Classifier & General Bayes Classifier
- Learn about Decision Trees
- Dive into the Perceptron algorithm, the ancestor of neural networks & deep learning
- Understand more practical machine learning topics like hyperparameters, cross-validation, feature extraction, feature selection, & multiclass classification
Think this is cool? Check out the other bundles in this series, The Deep Learning and Artificial Intelligence Introductory Bundle, and The Advanced Guide to Deep Learning and Artificial Intelligence.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but knowledge of Python and Numpy coding is expected
- All code for this course is available for download here, in the directory unsupervised_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
Rosetta Stone® Language Learning (Levels 1-5 Instant Download) for $149
KEY FEATURES
If your dream is to master a foreign language, there’s not better teacher than Rosetta Stone. With its intuitive, immersive method, Rosetta Stone will have you reading, writing, and speaking like a natural in no time. You’ll start by matching words with images just like when you learned your native language as a child. Then you’ll move onto interactive lessons where speech recognition technology works to evaluate and improve your accent with instant feedback. The reviews don’t lie, Rosetta Stone is the best way to master a second, third, or fourth language from home.
PC Magazine Editors’ Choice Award: Best Language-Learning Software
“Rosetta Stone TOTALe may be the next best thing to living in a country.” Wall Street Journal
- Learn a new language w/ the award-winning interactive software & proprietary speech-recognition technology that analyzes the words you say 100 times per second
- Develop your command of the language–read, write, speak & understand
- Learn basic conversational skills like shopping, ordering, taking a taxi, etc.
- Move onto advanced language skills like sharing opinions & discussing pop culture
- Enhance your learning on-the-go w/ Rosetta Stone mobile apps (3-month trial included)
- Take levels 1-5 to go from beginner to advanced
- Use the advanced speech engine to compare your accent to native speakers
- Get 12 live tutoring sessions w/ a native speaker
PRODUCT SPECS
Details & Requirements
- Includes access for up to 5 family members, 2 computers
- Learn at your own pace – this course that never expires!
Compatibility
- Windows 2000 or later
- Mac OS X 10.4.11 or later
- 1 GHz or faster CPU
- 512 MB RAM
- 600 MB free hard-drive space (per level)
- Internet or phone connection for activation
- Only available to residents of the United States, Australia, Europe, Brazil, Argentina, China, India, and Mexico.
Includes
- Rosetta Stone, US English Levels 1-5
- Serial code for digital download of product
- 90-day access to mobile language learning product
Machine Learning with Python Course and E-Book Bundle for $49
KEY FEATURES
Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models, and is one of the most important new frontiers in technology. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. Over this course you’ll explore some of the possibilities of deep learning, and how to use TensorFlow to process data more effectively than ever.
- Access 22 lectures & 2 hours of content 24/7
- Discover the efficiency & simplicity of TensorFlow
- Process & change how you look at data
- Sift for hidden layers of abstraction using raw data
- Train your machine to craft new features to make sense of deeper layers of data
- Explore logistic regression, convolutional neural networks, recurrent neural networks, high level interfaces, & more
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Dan Van Boxel is a Data Scientist and Machine Learning Engineer with over 10 years of experience. He is most well-known for “Dan Does Data,” a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research and presented findings at the Transportation Research Board and other academic journals.
KEY FEATURES
Python is the general purpose, multi-paradigm programming language that many professionals consider one of the best beginner language due its relative simplicity and applicability to many coding arenas. This course assumes no prior experience and helps you dive into Python fundamentals to come to grips with this popular language and start your coding odyssey off right.
- Access 43 lectures & 4.5 hours of content 24/7
- Learn variables, numbers, strings, & more essential components of Python
- Make decisions on your programs w/ conditional statements
- See how functions play a major role in providing a high degree of code recycling
- Create modules in Python
- Perform image manipulations w/ Python
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
William Fiset is a Mathematics and Computer Science Honors student at Mount Allison University with in interest in competitive programming. William has been a Python developer for +4 years, starting his early Python experience with game development. He owns a popular YouTube channel that teaches Python to beginners and the basics of game development.
KEY FEATURES
You’ve seen deep learning everywhere, but you may not have realized it. This discipline is one of the leading solutions for image recognition, speech recognition, object recognition, and language translation – basically the tools you see Google roll out every day. Over this course, you’ll use Python to expand your deep learning knowledge to cover backpropagation and its ability to train neural networks.
- Access 19 lectures & 2 hours of content 24/7
- Train neural networks in deep learning & to understand automatic differentiation
- Cover convolutional & recurrent neural networks
- Build up the theory that covers supervised learning
- Integrate search & image recognition, & object processing
- Examine the performance of the sentimental analysis model
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Eder Santana is a PhD candidate in Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.
KEY FEATURES
Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course’s end, you’ll have a valuable skill that companies are clamoring to hire for.
- Access 21 lectures & 2 hours of content 24/7
- Discover data mining techniques & the Python libraries used for data mining
- Tackle notorious data mining problems to get a concrete understanding of these techniques
- Understand the process of cleaning data & the steps involved in filtering out noise
- Build an intelligent application that makes predictions from data
- Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
- Predict house prices & the number of TV show viewers
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.
KEY FEATURES
You see graphs all over the internet, the workplace, and your life – but do you ever stop to consider how all that data has been visualized? There are many tools and programs that data scientists use to visualize massive, disorganized sets of data. This e-book contains content from “Data Visualization: A Successful Design Process” by Andy Kirk, “Social Data Visualization with HTML5 and JavaScript” by Simon Timms,” and “Learning d3.js Data Visualization, Second Edition” by Andrew Rininsland and Swizec Teller, all professionally curated to give you an easy-to-follow track to master data visualization in your own work.
- Harness the power of D3 by building interactive & real-time data-driven web visualizations
- Find out how to use JavaScript to create compelling visualizations of social data
- Identify the purpose of your visualization & your project’s parameters to determine overriding design considerations across your project’s execution
- Apply critical thinking to visualization design & get intimate with your dataset to identify its potential visual characteristics
- Explore the various features of HTML5 to design creative visualizations
- Discover what data is available on Stack Overflow, Facebook, Twitter, & Google+
- Gain a solid understanding of the common D3 development idioms
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Get a complete introduction to the many uses of Python in this curated e-book drawing content from “Python 3 Object-Oriented Programming, Second Edition” by Dusty Phillips, “Learning Python Design Patterns, Second Edition” by Chetan Giridhar, and “Mastering Python Design Patterns” by Sakis Kasampalis. Once you’ve got your feet wet, you’ll focus in on the most common and useful design patterns from a Python perspective. By course’s end, you’ll have a complex understanding of designing patterns with Python, allowing you to develop better coding practices and create systems architectures.
- Discover what design patterns are & how to apply them to writing Python
- Implement objects in Python by creating classes & defining methods
- Separate related objects into a taxonomy of classes & describe the properties & behaviors of those objects via the class interface
- Understand when to use object-oriented features & when not to use them
- Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle, & the Open Close principle, & more
- Use Structural Design Patterns to find out how objects & classes interact to build larger applications
- Improve the productivity & code base of your application using Python design patterns
- Secure an interface using the Proxy pattern
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Consequently, professionals who can run machine learning systems are in high demand and are commanding high salaries. This e-book will help you get a grip on advanced Python techniques to design machine learning systems.
- Learn to write clean & elegant Python code that will optimize the strength of your algorithms
- Uncover hidden patterns & structures in data w/ clustering
- Improve accuracy & consistency of results using powerful feature engineering techniques
- Gain practical & theoretical understanding of cutting-edge deep learning algorithms
- Solve unique tasks by building models
- Come to grips w/ the machine learning design process
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Data science is one of the most in-demand fields today, and this e-book will guide you to becoming an efficient data science practitioner in Python. Once you’ve nailed down Python fundamentals, you’ll learn how to perform data analysis with Python in an example-driven way. From there, you’ll learn how to scale your knowledge to processing machine learning algorithms.
- Implement objects in Python by creating classes & defining methods
- Get acquainted w/ NumPy to use it w/ arrays & array-oriented computing in data analysis
- Create effective visualizations for presenting your data using Matplotlib
- Process & analyze data using the time series capabilities of pandas
- Interact w/ different kind of database systems, such as file, disk format, Mongo, & Redis
- Apply data mining concepts to real-world problems
- Compute on big data, including real-time data from the Internet
- Explore how to use different machine learning models to ask different questions of your data
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Python is one of the most popular programming languages today, enabling developers to write efficient, reusable code. Here, you’ll add Python to your repertoire, learning to set up your development environment, master use of its syntax, and much more. You’ll soon understand why engineers at startups like Dropbox rely on Python: it makes the process of creating and iterating upon apps a piece of cake.
- Master Python w/ 3 hours of content
- Build Python packages to efficiently create reusable code
- Creating tools & utility programs, and write code to automate software
- Distribute computation tasks across multiple processors
- Handle high I/O loads w/ asynchronous I/O for smoother performance
- Utilize Python’s metaprogramming & programmable syntax features
- Implement unit testing to write better code, faster
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done –whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
Machine Learning & AI for Business Bundle for $39
KEY FEATURES
Artificial intelligence is the simulation of human intelligence through machines using computer systems. No, it’s not just a thing of the movies, artificial intelligence systems are used today in medicine, robotics, remote sensors, and even in ATMs. This booming field of technology is one of the most exciting frontiers in science and this course will give you a solid introduction.
- Access 91 lectures & 17 hours of content 24/7
- Identify potential areas of applications of AI
- Learn basic ideas & techniques in the design of intelligent computer systems
- Discover statistical & decision-theoretic modeling paradigms
- Understand how to build agents that exhibit reasoning & learning
- Apply regression, classification, clustering, retrieval, recommender systems, & deep learning
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.
For more details on this course and instructor, click here.
KEY FEATURES
Machine learning is the science of getting computers to act without being explicitly programmed by harvesting data and using algorithms to determine outputs. You see this science in action all the time in spam filtering, search engines, and online ad space, and its uses are only expanding into more powerful applications like self-driving cars and speech recognition. In this crash course, you’ll get an introduction to the mechanisms of algorithms and how they are used to drive machine learning.
- Access 10 lectures & 2 hours of content 24/7
- Learn machine learning concepts like K-nearest neighbor learning, non-symbolic machine learning, & more
- Explore the science behind neural networks
- Discover data mining & statistical pattern recognition
- Gain practice implementing the most effective machine learning techniques
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.
For more details on this course and instructor, click here.
KEY FEATURES
The R programming language has become the most widely use language for computational statistics, visualization, and data science – all essential tools in artificial intelligence and machine learning. Companies like Google, Facebook, and LinkedIn use R to perform business data analytics and develop algorithms that help operations move fluidly. In this introductory course, you’ll learn the basics of R and get a better idea of how it can be applied.
- Access 33 lectures & 6 hours of content 24/7
- Install R studio & learn the basics of R functions
- Understand data types in R, the recycling rule, special numerical values, & more
- Explore parallel summary functions, logical conjunctions, & pasting strings together
- Discover the evolution of business analytics
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.
KEY FEATURES
Further your understanding of R with this immersive course on one of the most important tools for business analytics. You’ll discuss data manipulation and statistics basics before diving into practical, functional use of R. By course’s end, you’ll have a strong understanding of R that you can leverage on your resume for high-paying analytics jobs.
- Access 30 lectures & 6 hours of content 24/7
- Understand variables, quantiles, data creation, & more
- Calculate variance, covariance, & build scatter plots
- Explore probability & distribution
- Use practice problems to reinforce your learning
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime access
- Access options: web streaming, mobile streaming
- Certification of completion included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate
Compatibility
- Internet required
THE EXPERT
An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.
For more details on this course and instructor, click here.
December 3, 2016 / by Marco / Artificial, Bundle, Business', deals, Deep, design, entrepreneur, intelligence, Introductory, Learning, website
The Deep Learning and Artificial Intelligence Introductory Bundle for $39
KEY FEATURES
Deep Learning is a set of powerful algorithms that are the force behind self-driving cars, image searching, voice recognition, and many, many more applications we consider decidedly “futuristic.” One of the central foundations of deep learning is linear regression; using probability theory to gain deeper insight into the “line of best fit.” This is the first step to building machines that, in effect, act like neurons in a neural network as they learn while they’re fed more information. In this course, you’ll start with the basics of building a linear regression module in Python, and progress into practical machine learning issues that will provide the foundations for an exploration of Deep Learning.
- Access 20 lectures & 2 hours of content 24/7
- Use a 1-D linear regression to prove Moore’s Law
- Learn how to create a machine learning model that can learn from multiple inputs
- Apply multi-dimensional linear regression to predict a patient’s systolic blood pressure given their age & weight
- Discuss generalization, overfitting, train-test splits, & other issues that may arise while performing data analysis
Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
- All code for this course is available for download here, in the directory linear_regression_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
Logistic regression is one of the most fundamental techniques used in machine learning, data science, and statistics, as it may be used to create a classification or labeling algorithm that quite resembles a biological neuron. Logistic regression units, by extension, are the basic bricks in the neural network, the central architecture in deep learning. In this course, you’ll come to terms with logistic regression using practical, real-world examples to fully appreciate the vast applications of Deep Learning.
- Access 31 lectures & 3 hours of content 24/7
- Code your own logistic regression module in Python
- Complete a course project that predicts user actions on a website given user data
- Use Deep Learning for facial expression recognition
- Understand how to make data-driven decisions
Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
- All code for this course is available for download here, in the directory logistic_regression_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
Artificial neural networks are the architecture that make Apple’s Siri recognize your voice, Tesla’s self-driving cars know where to turn, Google Translate learn new languages, and so many more technological features you have quite possibly taken for granted. The data science that unites all of them is Deep Learning. In this course, you’ll build your very first neural network, going beyond basic models to build networks that automatically learn features.
- Access 37 lectures & 4 hours of content 24/7
- Extend the binary classification model to multiple classes uing the softmax function
- Code the important training method, backpropagation, in Numpy
- Implement a neural network using Google’s TensorFlow library
- Predict user actions on a website given user data using a neural network
- Use Deep Learning for facial expression recognition
- Learn some of the newest development in neural networks
Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
- All code for this course is available for download here, in the directory ann_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
The applications of Deep Learning are many, and constantly growing, just like the neural networks that it supports. In this course, you’ll delve into advanced concepts of Deep Learning, starting with the basics of TensorFlow and Theano, understanding how to build neural networks with these popular tools. Using these tools, you’ll learn how to build and understand a neural network, knowing exactly how to visualize what is happening within a model as it learns.
- Access 23 lectures & 3 hours of programming 24/7
- Discover batch & stochastic gradient descent, two techniques that allow you to train on a small sample of data at each iteration, greatly speeding up training time
- Discuss how momentum can carry you through local minima
- Learn adaptive learning rate techniques like AdaGrad & RMSprop
- Explore dropout regularization & other modern neural network techniques
- Understand the variables & expressions of TensorFlow & Theano
- Set up a GPU-instance on AWS & compare the speed of CPU vs GPU for training a deep neural network
- Look at the MNIST dataset & compare against known benchmarks
Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
- All code for this course is available for download here, in the directory ann_class2
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
November 29, 2016 / by Marco / Advanced, Artificial, Business', deals, Deep, design, entrepreneur, guide, intelligence, Learning, website
The Advanced Guide to Deep Learning and Artificial Intelligence for $42
KEY FEATURES
In this course, intended to expand upon your knowledge of neural networks and deep learning, you’ll harness these concepts for computer vision using convolutional neural networks. Going in-depth on the concept of convolution, you’ll discover its wide range of applications, from generating image effects to modeling artificial organs.
- Access 25 lectures & 3 hours of content 24/7
- Explore the StreetView House Number (SVHN) dataset using convolutional neural networks (CNNs)
- Build convolutional filters that can be applied to audio or imaging
- Extend deep neural networks w/ just a few functions
- Test CNNs written in both Theano & TensorFlow
Note: we strongly recommend taking The Deep Learning & Artificial Intelligence Introductory Bundle before this course.
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory cnn_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
In this course, you’ll dig deep into deep learning, discussing principal components analysis and a popular nonlinear dimensionality reduction technique known as t-distributed stochastic neighbor embedding (t-SNE). From there you’ll learn about a special type of unsupervised neural network called the autoencoder, understanding how to link many together to get a better performance out of deep neural networks.
- Access 30 lectures & 3 hours of content 24/7
- Discuss restricted Boltzmann machines (RBMs) & how to pretrain supervised deep neural networks
- Learn about Gibbs sampling
- Use PCA & t-SNE on features learned by autoencoders & RBMs
- Understand the most modern deep learning developments
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory unsupervised_class2
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
A recurrent neural network is a class of artificial neural network where connections form a directed cycle, using their internal memory to process arbitrary sequences of inputs. This makes them capable of tasks like handwriting and speech recognition. In this course, you’ll explore this extremely expressive facet of deep learning and get up to speed on this revolutionary new advance.
- Access 32 lectures & 4 hours of content 24/7
- Get introduced to the Simple Recurrent Unit, also known as the Elman unit
- Extend the XOR problem as a parity problem
- Explore language modeling
- Learn Word2Vec to create word vectors or word embeddings
- Look at the long short-term memory unit (LSTM), & gated recurrent unit (GRU)
- Apply what you learn to practical problems like learning a language model from Wikipedia data
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory rnn_class
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
KEY FEATURES
In this course you’ll explore advanced natural language processing – the field of computer science and AI that concerns interactions between computer and human languages. Over the course you’ll learn four new NLP architectures and explore classic NLP problems like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. By course’s end, you’ll have a firm grasp on natural language processing and its many applications.
- Access 40 lectures & 4.5 hours of content 24/7
- Discover Word2Vec & how it maps words to a vector space
- Explore GLoVe’s use of matrix factorization & how it contributes to recommendation systems
- Learn about recursive neural networks which will help solve the problem of negation in sentiment analysis
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: advanced, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
- All code for this course is available for download here, in the directory nlp_class2
Compatibility
- Internet required
THE EXPERT
The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.
He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.
He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.
Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.
Rosetta Stone® Language Learning (Levels 1-5 Instant Download) for $129
KEY FEATURES
If your dream is to master a foreign language, there’s not better teacher than Rosetta Stone. With its intuitive, immersive method, Rosetta Stone will have you reading, writing, and speaking like a natural in no time. You’ll start by matching words with images just like when you learned your native language as a child. Then you’ll move onto interactive lessons where speech recognition technology works to evaluate and improve your accent with instant feedback. The reviews don’t lie, Rosetta Stone is the best way to master a second, third, or fourth language from home.
PC Magazine Editors’ Choice Award: Best Language-Learning Software
“Rosetta Stone TOTALe may be the next best thing to living in a country.” Wall Street Journal
- Learn a new language w/ the award-winning interactive software & proprietary speech-recognition technology that analyzes the words you say 100 times per second
- Develop your command of the language–read, write, speak & understand
- Learn basic conversational skills like shopping, ordering, taking a taxi, etc.
- Move onto advanced language skills like sharing opinions & discussing pop culture
- Enhance your learning on-the-go w/ Rosetta Stone mobile apps (3-month trial included)
- Take levels 1-5 to go from beginner to advanced
- Use the advanced speech engine to compare your accent to native speakers
- Get 12 live tutoring sessions w/ a native speaker
PRODUCT SPECS
Details & Requirements
- Includes access for up to 5 family members, 2 computers
- Learn at your own pace – this course that never expires!
Compatibility
- Windows 2000 or later
- Mac OS X 10.4.11 or later
- 1 GHz or faster CPU
- 512 MB RAM
- 600 MB free hard-drive space (per level)
- Internet or phone connection for activation
Includes
- Rosetta Stone, US English Levels 1-5
- Serial code for digital download of product
- 90-day access to mobile language learning product
