Machine Learning for Dummies

Introducing How Machines Learn 
Getting the Real Story about AI 
Learning in the Age of Big Data 
Having a Glance at the Future 

Preparing Your Learning Tools 
Installing an R Distribution 
Coding in R Using RStudio 
Installing a Python Distribution 
Coding in Python Using Anaconda 
Exploring Other Machine Learning Tools 

Getting Started with the Math Basics 
Demystifying the Math Behind Machine Learning 
Descending the Right Curve 
Validating Machine Learning 
Starting with Simple Learners 

Learning from Smart and Big Data 
Preprocessing Data 
Leveraging Similarity 
Working with Linear Models the Easy Way
Hitting Complexity with Neural Networks
Going a Step beyond Using Support Vector Machines 
Resorting to Ensembles of Learners 

Applying Learning to Real Problems 
Classifying Images 
Scoring Opinions and Sentiments 
Recommending Products and Movies 
Ten Machine Learning Packages to Master 
Ten Ways to Improve Your Machine Learning Models