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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

Basic Atari gaming bot


In this chapter, we are trying a hands-on approach to building some basic gaming bots. We are choosing some famous Atari games that nearly everybody has played at some point in their lives. We choose Atari games because we know how to play them, and that makes our life easy because we can understand what kind of action our bot should perform in order to get better over a period of time.

In this section, we are building our own game. This game is simple, so we can look at how we can apply the Q-Learning algorithms. Here, we will be designing the game world on our own. Let's begin!

Understanding the key concepts

In this section, we will be looking at a lot of important aspects that will help us while coding, so here, we will be covering the following topics:

  • Rules for the game

  • Understanding the Q-Learning algorithm

Rules for the game

Before we begin with the basic concepts or algorithms, we need to understand the rules of the game that we are building. The game is simple and...

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