Tag Archive: machine

KEY FEATURES

In this course, you’ll learn the entire, step-by-step blueprint the instructor uses to read over 300 book per year. Reading isn’t just something you should do, it’s something you must do if you want to live your dreams. You’ll learn how to pick the right books for success, how to comprehend them at an incredible rate, and apply their lessons to your life.

• Access 67 lectures & 3.5 hours of content 24/7
• Understand why everything you learned in school stops you from reading more than 20 books per year
• Discover a hidden benefit of reading that will make you want to read every single day
• Learn a little known trick that can instantly double your reading speed
• Explore ‘The Double Time Solution,’ a simple thing you can do to read twice as much without spending any extra time
• Know how to use what you learn from books to make more money

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

Brandon Hakim is on a quest to give you the education you’ll never get in school. The things that the world’s highest achievers spent their entire lives discovering, that no professor or teacher will ever tell you. Because when he was in college, he was mad. He’d just read a book and everything inside was the opposite of what he was learning in all his classes.

So he ran into the dean’s office and said, “I’m literally learning more from the books I get on Amazon for five bucks than these classes that cost thousands of dollars each!” And all she had to say was… they’re working on it!

So when he walked out that day, Brandon swore he’d teach himself the things he should have learned in school. And he started reading lots of books and realized one big thing: Everyone who’s excelled in any area of life knew things we’re never taught in school. They were Insiders.

They discovered the truth about finding their purpose and creating a perfect vision to work towards. Or about motivation and productivity, financial freedom, having authentic relationships, changing the world, persuading people, learning incredibly quickly or celebrating their hundredth birthday still in perfect health.

So if you want to live a life miles beyond the “regular” life, you’ll have to learn less from a classroom, and more from the people who have actually gotten the things you want. And Brandon’s goal is to condense tens of thousands of pages of reading in different subjects to help you become way more productive and make a lasting impact on the world.

KEY FEATURES

Designed to introduce you to the most relevant and powerful machine learning techniques used by today’s top data scientists, this book delivers clear examples and detailed code samples to demonstrate deep learning techniques, semi-supervised learning, and more. The techniques covered in this book are at the forefront of commercial practice and will help you break into this lucrative, growing industry.

• Compete w/ top data scientists by gaining a practical & theoretical understanding of cutting-edge deep learning algorithms
• Apply your new found skills to solve real problems
• Automate large sets of complex data & overcome time-consuming practical challenges
• Improve the accuracy of models & your existing input data using feature engineering techniques
• Use multiple learning techniques together to improve the consistency of results
• Understand the hidden structure of datasets using a range of unsupervised techniques
• Improve the effectiveness of your deep learning models further by using ensembling techniques to strap multiple models together

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

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

Apache Spark has become one of the most popular tools in machine learning because it can handle huge data sets at incredible speed. This book shows you Spark at its very best, demonstrating how to connect it with R to unlock maximum value from the tool and your data. These blueprints will reveal some of the most interesting challenges that Spark can help you tackle.

• Set up Apache Spark for machine learning and discover its impressive processing power
• Combine Spark & R to unlock detailed business insights essential for decision making
• Build machine learning systems w/ Spark that can detect fraud & analyze financial risks
• Create predictive models focusing on customer scoring & service ranking
• Design recommendation systems using SPSS on Apache Spark
• Tackle parallel computing & find out how it can support your machine learning projects
• Turn open data & communication data into actionable insights by making use of various forms of machine learning

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

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 a general purpose and a relatively easy to learn programming language, making it the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This book helps bridge the gap between machine learning and web development. You’ll focus on the Python language, frameworks, tools, and libraries, and eventually build a machine learning system.

• Get familiar w/ the fundamental concepts & some machine learning jargon
• Use tools & techniques to mine data from websites
• Grasp the core concepts of Django framework
• Get to know the most useful clustering & classification techniques and implement them in Python
• Acquire all the necessary knowledge to build a web application w/ Django
• Build & deploy a movie recommendation system application using the Django framework in 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: intermediate

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

OpenCV is a library of programming functions mainly aimed at real-time computer vision. This course will show you how machine learning is a great choice to solve real-world computer vision problems and how you can use the OpenCV modules to implement popular machine learning concepts.

• Access 12 lectures & 1.5 hours of content 24/7
• Learn how to work w/ various OpenCV modules for statistical modeling & machine learning
• Discuss supervised & unsupervised learning, and how to implement them w/ real-world examples
• Implement efficient models using classification, regression, decision trees, K-nearest neighbors, & 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: intermediate

Compatibility

• Internet required

THE EXPERT

Joe Minichino is a computer vision engineer for Hoolux Medical by day and a developer of the NoSQL database LokiJS by night. On weekends, he is a heavy metal singer/songwriter. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experiments with them. At Hoolux, Joe leads the development of an Android computer vision-based advertising platform for the medical industry.

Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan’s Università Statale), Joe has spent his last 11 years living in Cork, Ireland, which is where he became a computer science graduate at the Cork Institute of Technology.

You can find him on LinkedIn at: https://www.linkedin.com/in/joeminichino

KEY FEATURES

TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. This course addresses common commercial machine learning problems using Google’s TensorFlow library, familiarizing you with this powerful tool.

• Access 19 lectures & 1.5 hours of content 24/7
• Discover how to use TensorFlow & use it in real-world use cases
• Cover unique features like Data Flow Graphs, training, & visualization of performance w/ TensorBoard

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

Shams Ul Azeem is an undergraduate of NUST Islamabad, Pakistan, in Electrical Engineering. He has a great interest in the field of computer science and has started his journey from Android Development.Now he’s pursuing his career in Machine Learning, particularly in Deep Learning, by doing medical-related freelance projects with different companies.
He was also a member of RISE lab, NUST, and has a publication in the IEEE International Conference, ROBIO as a co-author on Designing of motions for humanoid goal keeper robots.

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

Machine learning is pervasive in the modern, data-driven world. It’s used in search engines, robotic, self-driving cars, and many more instances. In this course, you’ll learn how to perform various machine learning tasks in many different environments. Focusing on real-life scenarios, you’ll learn how to solve real problems and use Python to implement algorithms.

• Access 97 lectures & 4.5 hours of content 24/7
• Deal w/ various types of data & explore the differences between machine learning paradigms
• Cover a range of regression techniques, classification algorithms, predictive modeling, & more
• Use real-world examples to solve real-life problems

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

Prateek Joshi is an artificial intelligence researcher, published author of five books, and TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management powered by deep learning. His work in this field has led to patents, tech demos, and research papers at major IEEE conferences. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, AT&T Foundry, Silicon Valley Deep Learning, and Open Silicon Valley. Prateek has also been featured as a guest author in prominent tech magazines.

His tech blog (www.prateekjoshi.com) has received more than 1.2 million page views from 200 over countries and has over 6,600+ followers. He frequently writes on topics such as artificial intelligence, Python programming, and abstract mathematics. He is an avid coder and has won many hackathons utilizing a wide variety of technologies. He graduated from University of Southern California with a master’s degree specializing in artificial intelligence. He has worked at companies such as Nvidia and Microsoft Research. You can learn more about him on his personal website at www.prateekj.com.

KEY FEATURES

Machine learning is the process of teaching machines to remember data patterns, use them to predict future outcomes, and offer choices that would appeal to individuals based on past preferences. Learning to build machine learning alogirthms within a controlled test framework will speed up your time to deliver, quantify quality expectations, and enabled rapid iteration and collaboration. This book will show you how to quantifiably test machine learning algorithms.

• Get started w/ an introduction to test-driven development & familiarize yourself with how to apply these concepts to machine learning
• Build & test a neural network deterministically, and learn to look for niche cases that cause odd model behavior
• Learn to use the multi-armed bandit algorithm to make optimal choices
• Generate complex & simple random data to create a wide variety of test cases
• Develop models iteratively, even when using a third-party library
• Quantify model quality to enable collaboration & rapid iteration
• Adopt simpler approaches to common machine learning algorithms
• Take behavior-driven development principles to articulate test intent

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 and machine learning are some of the top buzzwords in the tech world today. This course is your entry point to machine learning! More companies than ever are relying on data mining to make informed business decisions and data scientists are in increasing demand. This course will put you on track for a lucrative career in Big Data.

• Access 45 lectures & 5 hours of content 24/7
• Get an introduction to machine learning & the Python language
• Learn important concepts like exploratory data analysis, data preprocessing, feature extraction, classification, & more
• Acquire the mechanics of several important machine learning algorithms
• Gather a broad picture of the machine learning ecosystem & master best practices
• Tackle data-driven problems & implement your solutions 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

Yuxi (Hayden) Liu is currently a data scientist working on messaging app optimization at a multinational online media corporation in Toronto. He focuses on social graph mining, user demographics, interest prediction, spam detection, and recommendation systems. He has worked for several years as a data scientist in real-time bidding programmatic advertising, where he applied his machine learning expertise in ad optimization, click-through rate and conversion prediction, and click fraud detection. Hayden earned his degree from the University of Toronto, and published five IEEE transactions and conference papers during his master’s research. He is also a machine learning education enthusiast, and has authored the Python Machine Learning By Example book.

KEY FEATURES

Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large data sets is a growing need. This course uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy.

• Apply the most scalable machine learning algorithms
• Work w/ modern state-of-the-art large-scale machine learning techniques
• Increase predictive accuracy w/ deep learning & scalable data-handling techniques
• Improve your work by combining the MapReduce framework w/ Spark
• Build powerful ensembles at scale
• Use data streams to train linear & non-linear predictive models from extremely large datasets using a single machine

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

A little bit of noise can help you focus and be more productive and LectroFan is ideal for relaxation, study, or privacy. It’s also a personal white noise and fan sound machine, helping you drift off to sleep and get a more peaceful rest. LectroFan offers twenty unique digital sounds to mask noises and all sounds can be personalized with pin-point volume control.

• Provides 10 fan sounds & 10 ambient noise variations, including white noise, pink noise & brown noise
• Helps mask disruptive environmental noises so you or your child can fall asleep w/ ease
• Powered by AC or USB & dynamically creates unique, non-repeating sounds w/ no moving parts
• Precise volume control allows you to set the perfect level for your unique environment

PRODUCT SPECS

Includes

• LectroFan White Noise Machine (black)
• AC adapter and cord
• Warranty card

KEY FEATURES

Course Description

Your programming toolbox wouldn’t be complete without Python. Whether you’re looking to work in data analysis, machine learning, or web development, this course walks you through using Python to solve a myriad of programming problems. You’ll dive into Python loops, data structures, functions, and more to help you perform basic programming tasks and confidently apply those skills to real-world scenarios.

• Access 28 lectures & 3 hours of content 24/7
• Get started w/ zero Python experience
• Enhance your understanding of loops, data structures, functions & classes
• Explore popular Python libraries & Web scraping
• Discover what it takes to write a real Python app

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

Work as a deep learning developer would be infinitely harder without TensorFlow. Created by Google in 2015, this open-source software library makes it easier for developers to design, build, and train deep learning models. Using TensorFlow, this course will guide you through Convolutional Neural Networks and Recurrent Neural Networks, cutting-edge tools in image recognition, language modeling, and working with high-frequency data.

• Access 28 lectures & 3.5 hours of content 24/7
• Use TensorFlow to work w/ convolutional & recurrent neural networks
• Learn how neural networks contribute to image recognition & language modeling
• Explore real-world deep learning examples via lab lessons

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

Deep learning has allowed today’s AI applications to do some amazing things, but only the Cloud has enough computing firepower to keep these programs running. This course will guide you through running deep learning models in TensorFlow on the Google Cloud platform. You’ll explore building and deploying TensorFlow models and apply your skills to the real world with a taxicab fare prediction problem.

• Access 30 lectures & 3 hours of content 24/7
• Learn how to build & deploy TensorFlow models on Google Cloud
• Refine your training w/ real-world labs, like a taxicab fare prediction problem
• Explore feature engineering & hyperparameter tuning

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: basic

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

Unsupervised deep learning might sound chaotic, but there’s a method to the madness. While supervised deep learning hinges on the programmer telling the program which insights to find, unsupervised deep learning allows the machine to gather insights on its own, making for unique—and sometimes game-changing—discoveries. Make your way through this training, and you’ll explore the theory of unsupervised deep learning and implement models in TensorFlow.

• Access 22 lectures & 2.5 hours of content 24/7
• Discover how to implement unsupervised deep learning models w/ TensorFlow
• Learn the advantages of supervised versus unsupervised deep learning
• Explore K-means clustering w/ images
• Understand how to create & work on a datalab instance

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: basic

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

Deep learning isn’t just about helping computers learn from data—it’s about helping those machines determine what’s important in those datasets. This is what allows for Tesla’s Model S to drive on its own and for Siri to determine where the best brunch spots are. Using the machine learning workhorse that is TensorFlow, this course will show you how to build deep learning models and explore advanced AI capabilities with neural networks.

• Access 62 lectures & 8.5 hours of content 24/7
• Understand the anatomy of a TensorFlow program & basic constructs such as graphs, tensors, and constants
• Create regression models w/ TensorFlow
• Learn how to streamline building & evaluating models w/ TensorFlow’s estimator API
• Use deep neural networks to build classification & regression models

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: intermediate

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

From suggested Facebook friends to recommended videos on Netflix, it’s scary how accurate these systems can be; but they’re not powered by magic. This course peels back the curtain on the technology that drives these programs. Using Python, you’ll discover what goes into designing and implementing recommendation systems and explore the different ways they curate content.

• Access 20 lectures & 4 hours of content 24/7
• Identify use-cases for recommendation systems
• Design & implement recommendation systems in Python
• Discover the different means of filtering content

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: basic

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

If you’re at all interested in the technology that powers Siri, self-driving cars, and other AI innovations, you’ll need to get comfortable with machine learning. This course features training from Silicon Valley pros with decades of experience under their belts. Even if you’ve never touched a line of code before, these experts will help you put Machine Learning and Python into action and harness a new level of programming power.

• Access 38 lectures & 8.5 hours of content 24/7
• Get introduced to Machine Learning
• Learn from a team w/ decades of practical experience in quant trading, analytics & e-commerce
• Understand complex programming subjects w/ the help of animations
• Discover how to implement natural language processing & machine learning for text classification in Python

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: basic

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Course Description

Classification models play a key role in helping computers accurately predict outcomes, like when a banking program identifies loan applicants as low, medium, or high credit risks. This course offers an overview of machine learning with a focus on implementing classification models via Python’s scikit-learn. If you’re an aspiring developer or data scientist looking to take your machine learning knowledge further, this course is for you.

• Access 17 lectures & 2 hours of content 24/7
• Tackle basic machine learning concepts, including supervised & unsupervised learning, regression, and classification
• Learn about support vector machines, decision trees & random forests using real data sets
• Discover how to use decision trees to get better results

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: web
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: basic

Requirements

• Internet required

THE EXPERT

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

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.