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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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Summary

Well! We have learned so much together so far, and now we have reached the end of this chapter. In this chapter, we covered all that deals with ML, including the terminologies and the project pipeline. We also talked about the learning paradigm, the datasets, and all the topics and projects that will be covered in each chapter.

In the next chapter, we will start to work on ML ensembles to predict employee attrition.

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R Machine Learning Projects

Published in: Jan 2019 Publisher: Packt ISBN-13: 9781789807943

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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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