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R Machine Learning Projects

You're reading from R Machine Learning Projects Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

Product type Paperback

Published in Jan 2019

Publisher Packt

ISBN-13 9781789807943

Length 334 pages

Edition 1st Edition

Languages

R

Tools

H2O

Concepts

Machine Learning

Author (1):

Dr. Sunil Kumar Chinnamgari

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Table of Contents (12) Chapters

Preface

1. Exploring the Machine Learning Landscape FREE CHAPTER

2. Predicting Employee Attrition Using Ensemble Models

3. Implementing a Jokes Recommendation Engine

4. Sentiment Analysis of Amazon Reviews with NLP

5. Customer Segmentation Using Wholesale Data

6. Image Recognition Using Deep Neural Networks

7. Credit Card Fraud Detection Using Autoencoders

8. Automatic Prose Generation with Recurrent Neural Networks

9. Winning the Casino Slot Machines with Reinforcement Learning

10. The Road Ahead

11. Other Books You May Enjoy

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Who this book is for

This book is for data analysts, data scientists, and ML developers who wish to master the concepts of ML using R by building real-world projects. Each project will help you test your expertise to implement the working mechanisms of ML algorithms and techniques. A basic understanding of ML and a working knowledge of R programming is a must.

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Authors (1)

Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari has a Ph.D. in computer science and specializes in machine learning and natural language processing. He is an AI researcher with more than 14 years of industry experience. Currently, he works in the capacity of lead data scientist with a US financial giant. He has published several research papers in Scopus and IEEE journals and is a frequent speaker at various meetups. He is an avid coder and has won multiple hackathons. In his spare time, Sunil likes to teach, travel, and spend time with family.

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