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R Machine Learning Projects

You're reading from R Machine Learning Projects

Product type Book

Published in Jan 2019

Publisher Packt

ISBN-13 9781789807943

Pages 334 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Dr. Sunil Kumar Chinnamgari

Table of Contents (12) Chapters

Preface

1. Exploring the Machine Learning Landscape

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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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...

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Authors (1)

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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