Tag Archive: Learning

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

KEY FEATURES

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you’ll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

• Access 64 lectures & 11 hours of content 24/7
• Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting
• Discover machine learning principles like decision trees, ensemble learning, random forests & more
• Set up a historical price database in MySQL using Python
• Learn Python libraries like Pandas, Scikit-Learn, XGBoost & Hyperopt
• Access source code any time as a continuing resource

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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 working knowledge of Python would be helpful

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

R is a programming language and software environment for statistical computing and graphics that is widely used among statisticians and data miners for data analysis. In this course, you’ll get a thorough run-through of how R works and how it’s applied to data science. Before you know it, you’ll be crunching numbers like a pro, and be better qualified for many lucrative careers.

• Access 82 lectures & 9 hours of content 24/7
• Cover basic statistical principles like mean, median, range, etc.
• Learn theoretical aspects of statistical concepts
• Discover datatypes & data structures in R, vectors, arrays, matrices & more
• Understand Linear Regression
• Visualize data in R using a variety of charts & graphs
• Delve into descriptive & inferential statistics

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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

Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.

• Access 71 lectures & 13 hours of content 24/7
• Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
• Understand HDFS, MapReduce & YARN & their interaction
• Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
• Chain multiple MapReduce jobs together
• Write your own customized partitioner
• Learn to globally sort a large amount of data by sampling input files

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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

Java seems an appropriate name for a language that seems so dense, you may need a cuppa joe after 10 minutes of self-study. Luckily, you can learn all you need to know in this short course. You’ll scale the behemoth that is object-oriented programming, mastering classes, objects, and more to conquer a language that powers everything from online games to chat platforms.

• Learn Java inside & out w/ 35 lectures & 7 hours of content
• Master object-oriented (OO) programming w/ classes, objects & more
• Understand the mechanics of OO: access modifiers, dynamic dispatch, etc.
• Dive into the underlying principles of OO: encapsulation, abstraction & polymorphism
• Comprehend how information is organized w/ packages & jars

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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 basic knowledge of Java is suggested

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Are you familiar with self-driving cars? Speech recognition technology? These things would not be possible without the help of Machine Learning–the study of pattern recognition and prediction within the field of computer science. This course is taught by Stanford-educated, Silicon Valley experts that have decades of direct experience under their belts. They will teach you, in the simplest way possible (and with major visual techniques), to put Machine Learning and Python into action. With these skills under your belt, your programming skills will take a whole new level of power.

• Get introduced to Machine Learning w/ 14.5 hours of instruction
• Learn from a team w/ decades of practical experience in quant trading, analytics & e-commerce
• Understand complex subjects w/ the help of animations
• Use hundreds of lines of source code w/ comments to implement natural language processing & machine learning for text summarization, text classification in Python
• Study natural language processing & sentiment analysis w/ Python

PRODUCT SPECS

Details & Requirements

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

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Sentiment Analysis or Opinion Mining is a field of Neuro-linguistic Programming (NLP) that aims to extract subjective information like positive/negative, like/dislike, emotional reactions, and the like. It’s an essential component to Machine Learning as it provides valuable training data to a machine. Over this course, you’ll learn real examples why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis.

• Access 19 lectures & 4 hours of content 24/7
• Learn Rule-Based & Machine Learning-Based approaches to solving Sentiment Analysis problems
• Understand Sentiment Lexicons & Regular Expressions
• Design & implement a Sentiment Analysis measurement system in Python
• Grasp the underlying Sentiment Analysis theory & its relation to binary classification
• Identify use-cases for Sentiment Analysis
• Perform a real Twitter Sentiment Analysis

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but some experience with Python is suggested

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Decision trees and random forests are two intuitive and extremely effective Machine Learning techniques that allow you to better predict outcomes from a selected input. Both methods are commonly used in business, and knowing how to implement them can put you ahead of your peers. In this course, you’ll learn these techniques by exploring a famous (but morbid) Machine Learning problem: predicting the survival of a passenger on the Titanic.

• Access 19 lectures & 4.5 hours of content 24/7
• Design & implement a decision tree to predict survival probabilities aboard the Titanic
• Understand the risks of overfitting & how random forests help overcome them
• Identify the use-cases for decision trees & random forests
• Use provided source code to build decision trees & random forests

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Deep Learning is an exciting branch of Machine Learning that provide solutions for processing the high-dimensional data produced by Computer Vision. This introductory course brings you into the complex, abstract world of Computer Vision and artificial neural networks. By the end, you’ll have a solid foundation in a core principle of Machine Learning.

• Access 9 lectures & 2 hours of content 24/7
• Design & implement a simple computer vision use-case: digit recognition
• Train a neural network to classify handwritten digits in Python
• Build a neural network & specify the training process
• Grasp the central theory underlying Deep Learning & Computer Vision
• Understand use-cases for Computer Vision & Deep Learning

PRODUCT SPECS

Details & Requirements

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

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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

Assuming you’re an internet user (which seems likely), you use or encounter recommendation systems all the time. Whenever you see an ad or product that seems eerily in tune with whatever you were just thinking about, it’s because of a recommendation system. In this course, you’ll learn how to build a variety of these systems using Python, and be well on your way to a high-paying career.

• Access 20 lectures & 4.5 hours of content 24/7
• Build Recommendation Engines that use content based filtering to find products that are most relevant to users
• Discover Collaborative Filtering, the most popular approach to recommendations
• Identify similar users using neighborhood models like Euclidean Distance, Pearson Correlation & Cosine
• Use Matrix Factorization to identify latent factor methods
• Learn recommendation systems by building a movie-recommending app in Python

PRODUCT SPECS

Details & Requirements

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

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Python’s one of the easiest yet most powerful programming languages you can learn, and it’s proven its utility at top companies like Dropbox and Pinterest. In this quick and dirty course, you’ll learn to write clean, efficient Python code, learning to expedite your workflow by automating manual work, implementing machine learning techniques, and much more.

• Dive into Python w/ 10.5 hours of content
• Acquire the database knowledge you need to effectively manipulate data
• Eliminate manual work by creating auto-generating spreadsheets w/ xlsxwriter
• Master machine learning techniques like sk-learn
• Utilize tools for text processing, including nltk
• Learn how to scrape websites like the NYTimes & Washington Post using Beautiful Soup
• Complete drills to consolidate your newly acquired knowledge

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

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

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.

KEY FEATURES

Python is a high-level programming language that allows you to deliver code faster and integrate systems more effectively than most other languages. It’s a powerful X-factor for the experienced programmer, and an excellent foundation for new ones. This course will not only teach you the language, but will help you identify specifically how to implement it into your coding life.

• Discover Python with 28+ hours of training, labs, games, assignments & activities
• Understand data types, data structures & important language constructs
• Explore concepts such as strings, tuples, sets, iterations & loopings, objects, generators, and dictionaries
• Experience the language through Python demos
• Learn essential program frameworks that may be applied within & beyond Python
• Track your improvement with pre & post-assessments
• Study on the go w/ printable study guides

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: 1 year
• Access options: web streaming
• Certification of completion included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Android
• iPad
• iPhone
• Mac
• Windows
• Processor: 1 gigahertz (GHz)
• RAM: 1 GB
• Operating systems: Windows Vista, Windows 8, iOS
• Browsers: Internet Explorer 10 or above, Google Chrome, Safari 6 or above, Mozilla Firefox

THE EXPERT

LearnSmart has served the technology community with high-quality certification and skills training since 1997. LearnSmart has grown rapidly as a leading provider for individuals and corporations, serving clients from a broad range of Fortune 500 companies, as well as universities, government institutions and the armed forces.

For more information on this course and instructor, click here.

KEY FEATURES

Move over Raspberry Pi, Wio Link is a credit-card-sized board designed to simplify Internet of Things development down to drag and drop. Wio Link allows developers of all levels to build IoT applications with no hardware programming, no breadboard, no jumper wires, and no soldering. This kit is the perfect jumping off point for anyone interested in some day building network-connected devices, vehicles, buildings, and other items.

• Use the simple Wio Link development board, which requires no programming skill
• Complete module actions w/ the tap of a button in the Wio Link app
• Send instructions to your devices over the internet
• Discover the streamlined Grove port interface

PRODUCT SPECS

Details & Requirements

• Weight: 305g

  Compatibility

  Includes:

  • Grove-Button
  • Grove-Relay
  • Grove-Moisture Sensor
  • Grove-Temp&Humi Sensor
  • Grove-Digital Light Sensor
  • Grove-Rotary Angle Sensor
  • Grove-Protoshield
  • Grove-Magnetic Switch
  • Grove-3-Axis Digital Accelerometer
  • Grove-IR Distance Interrupt
  • Grove-Barometer Sensor (BMP180)
  • Grove-Air Quality Sensor v1.3
  • Grove-Gesture
  • Grove-I2C Hub
  • Grove-Speaker
  • Grove-WS2812 Waterproof LED Strip
  • Grove-Servo
  • Micro USB Cable – 48cm
  • 2 Wio Link

  Material required:

  • Wio Link App (iOS & Android)
  • Grove Relay
  • Travis CI Account
  • GitHub Account
  • Traffic Light

KEY FEATURES

Programming your Wio Link board is possible using applications built by SeeedStudio or with a RESTful API in a Node.js. Node.js is a platform built on Chrome’s JavaScript runtime designed to build fast, scalable network applications easily. In this video course, you will receive a step-by-step guide for creating a high performance server in JavaScript. From the basics of modules, files streams, and setting up servers to more advanced features like web sockets and key-value stores, this course will fully prepare you to build your Node app.

• Access over 2 hours of video
• Configure & publish a Node package
• Handle data flows w/ Node’s new Stream2 API
• Build & optimize a static web server
• Reuse more code w/ Connect middleware components
• Implement an app using a higher level framework like Express
• Create, read, update, & delete documents in a MongoDB collection
• Transmit data over web sockets (supported by Wio Link) in real time w/ Socket.IO

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

Joe Stanco (@JoeStanco) is a frontend developer living in NYC. His fascination with code started with the Tandy “Trash 80” PC—a present for his seventh birthday. He has been programming in JavaScript for 15 years. A versatile developer, he has cultivated expertise in UI design as well as proficiency in backend languages such as Ruby, PHP, and Perl. He holds a BA from Bard College and a certificate in Software Development from Columbia University. Joe currently oversees a team at BuzzFeed tasked with implementing R&D projects and innovative partner integrations for clients like GE and Pepsi. He has worked at a variety of startups throughout his career, including Animoto, ASMALLWORLD, Vonage, and Travelocity. In his free time, he teaches 4th graders how to build robots with Lego Mindstorms for NY Cares. He is also an avid supporter of LISA (Leaders in Software and Art), a digital art salon founded in 2009. Many thanks to Aaron Heckmann from 10gen for his invaluable feedback on the MongoDB section.

For more details on this course and instructor,
click here.

KEY FEATURES

Python is a great programming language to learn in conjunction with your new Wio Link, as you can also connect to the Rest API to communicate with your board in Python. Overall demand for Python programming has exploded in recent years as many industries are rapidly transitioning to Python and building automation tools. This comprehensive course will introduce you to the basics of Python 3.x, the newest version of this powerful coding language. Give yourself a leg up over other developers by adding Python to your programming repertoire.

• Access 7 hours of video & 52 lectures
• Learn back-end programming for web applications, games & in-house scripts
• Study any time w/ video screencast & easily accessible code files
• Test your knowledge w/ quizzes & homework
• Learn coding best practices

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• 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

Let’s Kode It is the best place to learn all computer related skills including coding, testing, web development or Microsoft Word, Excel, Powerpoint.

For more details on this course and instructor,
click here.

KEY FEATURES

JavaScript is not only another language that can be used in conjunction with Wio Link, but a great coding language to master in general. In fact, JavaScript is one of the most popular languages used in coding for the Web, and an essential skill for high paying jobs in web development and web testing. Through this introductory course, you’ll learn JavaScript fundamentals as well as more advanced techniques that will prepare you to code for web and mobile apps.

• Access 11 hours of video & 55 lectures
• Learn the fundamentals of data types, objects, arrays, & functions
• Manage cookies
• Work w/ concepts like events, event handlers & HTML elements
• Debug JavaScript code
• Validate & submit forms
• Utilize window objects, history, screen & timing events

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• 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

Let’s Kode It is the best place to learn all computer related skills including coding, testing, web development or Microsoft Word, Excel, Powerpoint.

For more details on this course and instructor,
click here.

KEY FEATURES

Swift is the main coding language for iOS and OS X, naturally making it one of the most in demand languages to learn. Employers are willing to pay top dollar for Swift programmers, and with this e-book and exercise platform designed for beginners, you can enter that elite world regardless of your previous experience. You’ll practice while you read, and always have a resource to fortify your skills.

“Read by over 100,000 people, We ❤ Swift is hands down one of the best resources for people who have no programming experience and want to learn programming or how to make an App.” NerdOrGeek.com

• Complement your learning w/ the custom made playgrounds to practice as you go
• Interactively learn the fundamentals of programming w/ 100+ exercises
• Get automated feedback from the automated training app so you’ll always know where you stand
• Learn one concept at a time at your own pace
• Understand Xcode, Apple’s integrated development environment

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner
• Xcode required – free to download here.

Compatibility

• Internet required
• Any PDF or ePub reader

THE EXPERT

Andrei Puni started programming when he was 10, after training for four years he won a bronze medal at the International Olympiad in Informatics in 2009. In the last years he has worked as an iOS developer for local companies and as a consultant. For more details on this author and platform, click here.

KEY FEATURES

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you’ll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

• Access 64 lectures & 11 hours of content 24/7
• Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting
• Discover machine learning principles like decision trees, ensemble learning, random forests & more
• Set up a historical price database in MySQL using Python
• Learn Python libraries like Pandas, Scikit-Learn, XGBoost & Hyperopt
• Access source code any time as a continuing resource

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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 working knowledge of Python would be helpful

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

R is a programming language and software environment for statistical computing and graphics that is widely used among statisticians and data miners for data analysis. In this course, you’ll get a thorough run-through of how R works and how it’s applied to data science. Before you know it, you’ll be crunching numbers like a pro, and be better qualified for many lucrative careers.

• Access 82 lectures & 9 hours of content 24/7
• Cover basic statistical principles like mean, median, range, etc.
• Learn theoretical aspects of statistical concepts
• Discover datatypes & data structures in R, vectors, arrays, matrices & more
• Understand Linear Regression
• Visualize data in R using a variety of charts & graphs
• Delve into descriptive & inferential statistics

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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

Big Data sounds pretty daunting doesn’t it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you’ll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.

• Access 71 lectures & 13 hours of content 24/7
• Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
• Understand HDFS, MapReduce & YARN & their interaction
• Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
• Chain multiple MapReduce jobs together
• Write your own customized partitioner
• Learn to globally sort a large amount of data by sampling input files

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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

Java seems an appropriate name for a language that seems so dense, you may need a cuppa joe after 10 minutes of self-study. Luckily, you can learn all you need to know in this short course. You’ll scale the behemoth that is object-oriented programming, mastering classes, objects, and more to conquer a language that powers everything from online games to chat platforms.

• Learn Java inside & out w/ 35 lectures & 7 hours of content
• Master object-oriented (OO) programming w/ classes, objects & more
• Understand the mechanics of OO: access modifiers, dynamic dispatch, etc.
• Dive into the underlying principles of OO: encapsulation, abstraction & polymorphism
• Comprehend how information is organized w/ packages & jars

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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 basic knowledge of Java is suggested

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Are you familiar with self-driving cars? Speech recognition technology? These things would not be possible without the help of Machine Learning–the study of pattern recognition and prediction within the field of computer science. This course is taught by Stanford-educated, Silicon Valley experts that have decades of direct experience under their belts. They will teach you, in the simplest way possible (and with major visual techniques), to put Machine Learning and Python into action. With these skills under your belt, your programming skills will take a whole new level of power.

• Get introduced to Machine Learning w/ 14.5 hours of instruction
• Learn from a team w/ decades of practical experience in quant trading, analytics & e-commerce
• Understand complex subjects w/ the help of animations
• Use hundreds of lines of source code w/ comments to implement natural language processing & machine learning for text summarization, text classification in Python
• Study natural language processing & sentiment analysis w/ Python

PRODUCT SPECS

Details & Requirements

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

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Sentiment Analysis or Opinion Mining is a field of Neuro-linguistic Programming (NLP) that aims to extract subjective information like positive/negative, like/dislike, emotional reactions, and the like. It’s an essential component to Machine Learning as it provides valuable training data to a machine. Over this course, you’ll learn real examples why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis.

• Access 19 lectures & 4 hours of content 24/7
• Learn Rule-Based & Machine Learning-Based approaches to solving Sentiment Analysis problems
• Understand Sentiment Lexicons & Regular Expressions
• Design & implement a Sentiment Analysis measurement system in Python
• Grasp the underlying Sentiment Analysis theory & its relation to binary classification
• Identify use-cases for Sentiment Analysis
• Perform a real Twitter Sentiment Analysis

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but some experience with Python is suggested

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Decision trees and random forests are two intuitive and extremely effective Machine Learning techniques that allow you to better predict outcomes from a selected input. Both methods are commonly used in business, and knowing how to implement them can put you ahead of your peers. In this course, you’ll learn these techniques by exploring a famous (but morbid) Machine Learning problem: predicting the survival of a passenger on the Titanic.

• Access 19 lectures & 4.5 hours of content 24/7
• Design & implement a decision tree to predict survival probabilities aboard the Titanic
• Understand the risks of overfitting & how random forests help overcome them
• Identify the use-cases for decision trees & random forests
• Use provided source code to build decision trees & random forests

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Deep Learning is an exciting branch of Machine Learning that provide solutions for processing the high-dimensional data produced by Computer Vision. This introductory course brings you into the complex, abstract world of Computer Vision and artificial neural networks. By the end, you’ll have a solid foundation in a core principle of Machine Learning.

• Access 9 lectures & 2 hours of content 24/7
• Design & implement a simple computer vision use-case: digit recognition
• Train a neural network to classify handwritten digits in Python
• Build a neural network & specify the training process
• Grasp the central theory underlying Deep Learning & Computer Vision
• Understand use-cases for Computer Vision & Deep Learning

PRODUCT SPECS

Details & Requirements

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

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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

Assuming you’re an internet user (which seems likely), you use or encounter recommendation systems all the time. Whenever you see an ad or product that seems eerily in tune with whatever you were just thinking about, it’s because of a recommendation system. In this course, you’ll learn how to build a variety of these systems using Python, and be well on your way to a high-paying career.

• Access 20 lectures & 4.5 hours of content 24/7
• Build Recommendation Engines that use content based filtering to find products that are most relevant to users
• Discover Collaborative Filtering, the most popular approach to recommendations
• Identify similar users using neighborhood models like Euclidean Distance, Pearson Correlation & Cosine
• Use Matrix Factorization to identify latent factor methods
• Learn recommendation systems by building a movie-recommending app in Python

PRODUCT SPECS

Details & Requirements

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

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

KEY FEATURES

Python’s one of the easiest yet most powerful programming languages you can learn, and it’s proven its utility at top companies like Dropbox and Pinterest. In this quick and dirty course, you’ll learn to write clean, efficient Python code, learning to expedite your workflow by automating manual work, implementing machine learning techniques, and much more.

• Dive into Python w/ 10.5 hours of content
• Acquire the database knowledge you need to effectively manipulate data
• Eliminate manual work by creating auto-generating spreadsheets w/ xlsxwriter
• Master machine learning techniques like sk-learn
• Utilize tools for text processing, including nltk
• Learn how to scrape websites like the NYTimes & Washington Post using Beautiful Soup
• Complete drills to consolidate your newly acquired knowledge

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime access
• 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

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. 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. For more details on the course and instructor, click here.

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

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

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

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

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.