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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

Understanding Reinforcement Learning (RL)


In this chapter, we are making a gaming bot with the help of reinforcement learning techniques. The motivation behind reinforcement learning is simple. RL gives the machine or any software agent a chance to learn its behavior based on the feedback this agent receives from the environment. This behavior can be learned once, or you can keep on adapting with time.

Let's understand RL with a fun example of a child learning to speak. These are the steps a child will take when they are learning how to speak:

  • Step 1: The first thing is that the child starts to observe you; how you are speaking and how you are interacting with him or her. The child listens to the basic words and sentences from you and learns that they can make a similar sound too. So, the child tries to imitate you.

  • Step 2: The child wants to speak full sentences or words but they may not understand that even before speaking sentences, they need to learn simple words! This is a challenge that...

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