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

The Road Ahead

Congratulations on reaching this point in the book! It has been an exciting journey for me, writing the various chapters and implementing the projects. I learned quite a lot as a result of undertaking this journey and I hope your experience has been the same.

Finally, here we are at the concluding chapter!

The year 2018 can be considered a boom year for data science, machine learning (ML), and artificial intelligence (AI). Just look at the number of start-ups with the terms ML and AI in their tag lines, the focal points for acquisitions on the part of big companies, and the topics at the biggest tech conferences. It does not take a long time for us to realize that data, ML, and AI are omnipresent, and I believe that this trend is going to continue for a few years to come. More and more industries are going to utilize ML and AI in a big way. This essentially is going...