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)
10
The Road Ahead

Summary

In this chapter, we learned about RL. We started the chapter by defining RL and its difference when compared with other ML techniques. We then reviewed the details of the MABP and looked at the various strategies that can be used to solve this problem. Use cases that are similar to the MABP were discussed. Finally, a project was implemented with UCB and Thompson sampling algorithms to solve the MABP using three different simulated datasets.

We have almost reached the end of this book. The appendix of this book, The Road Ahead, as the name reflects, is a guidance chapter suggesting details on what's next from here to become a better R data scientist. I am super excited that I am at the last leg of this R projects journey. Are you with me on this as well?