Master machines and artificial intelligence while continuing to exercise your mind. With this e-learning bundle of 10 courses totaling 63.5 hours you’ll walk away with knowledge you never imagined, and the bundle’s only selling for $39.99 right now. Here’s what you’ll get:
The Complete Machine Learning Bundle ($39.99)
1) Quant Trading Using Machine Learning: Play the Markets Like a Pro After 11 Hours of Integrating Machine Learning into Your Investment Strategies
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
2) Learn By Example: Statistics and Data Science in R: Use Real-Life Examples & Case Studies to Understand the R Programming Language
Access 80 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
3) Learn By Example: Hadoop & MapReduce for Big Data Problems: Discover Mass Data Processing Methods by Using the Leading Data Frameworks
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
4) Byte Size Chunks: Java Object-Oriented Programming & Design: Conquer Java with Just 7 Hours of Premium Instruction
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
5) An Introduction to Machine Learning & NLP in Python: Start Studying Machine Learning Techniques & Put Them into Action Today
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
6) Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python): Use Python & The Twitter API to Build Your Own Sentiment Analyzer
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
7) Byte-Sized-Chunks: Decision Trees and Random Forests: Learn Intuitive Machine Learning Techniques by Exploring a Classic Problem
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
8) An Introduction To Deep Learning & Computer Vision: Discover Core Machine Learning Concepts & Build An Artificial Neural Network
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
9) Byte-Sized-Chunks: Recommendation Systems: Understand How Online Recommendations Work by Building a Movie App
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
10) From 0 to 1: Learn Python Programming – Easy as Pie: Make Quick Work of This Popular, Powerful Programming Language in Just 9 Hours
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
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