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An Introduction to Machine Learning

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Cover of 'An Introduction to Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning Definition and Basics
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    Chapter 2 Learning Models
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    Chapter 3 Regressions
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    Chapter 4 Improving Further
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    Chapter 5 Classification
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    Chapter 6 Clustering
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    Chapter 7 Random Forests
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    Chapter 8 Testing the Algorithm and the Network
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    Chapter 9 (Artificial) Neural Networks
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    Chapter 10 Natural Language Processing
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    Chapter 11 Deep Learning
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    Chapter 12 Principal Component Analysis
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    Chapter 13 Anomaly Detection
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    Chapter 14 Recommender Systems
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    Chapter 15 Convolution
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    Chapter 16 Components of Reinforcement Learning
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    Chapter 17 Reinforcement Learning Algorithms
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    Chapter 18 Designing a Machine Learning System
Attention for Chapter 7: Random Forests
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