Book Image

R Machine Learning Projects

By : Dr. Sunil Kumar Chinnamgari
Book Image

R Machine Learning Projects

By: Dr. Sunil Kumar Chinnamgari

Overview of this book

R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you’ll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You’ll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations.
Table of Contents (12 chapters)
The Road Ahead

Winning the Casino Slot Machines with Reinforcement Learning

If you have been following machine learning (ML) news, I am sure you will have encountered this kind of headline: computers performing better than world champions in various games. If you haven't, the following are sample news snippets from my quick Google search that are worth spending time reading to understand the situation:

Reinforcement learning (RL) is a subarea of artificial intelligence (AI) that powers computer systems who are able to demonstrate better performance in games such as Atari Breakout and Go than human players.

In this chapter, we will look at the following topics:

  • The concept of RL
  • The multi-arm bandit...