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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

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789807943
Length 334 pages
Edition 1st Edition
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Author (1):
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Dr. Sunil Kumar Chinnamgari Dr. Sunil Kumar Chinnamgari
Author Profile Icon Dr. Sunil Kumar Chinnamgari
Dr. Sunil Kumar Chinnamgari
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Table of Contents (12) Chapters Close

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

Winning the Casino Slot Machines with Reinforcement Learning

If you have been following machine learning (ML) news, I am sure you will have encountered this kind of headline: computers performing better than world champions in various games. If you haven't, the following are sample news snippets from my quick Google search that are worth spending time reading to understand the situation:

Reinforcement learning (RL) is a subarea of artificial intelligence (AI) that powers computer systems who are able to demonstrate better performance in games such as Atari Breakout and Go than human players.

In this chapter, we will look at the following topics:

  • The concept of RL
  • The multi-arm bandit...
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