Machine Learning Foundations

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Numerical Vectors
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   Chapter 3 Data Encoding
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   Chapter 4 Simple Machine Learning Algorithms
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   Chapter 5 Instance Based Learning
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   Chapter 6 Probabilistic Learning
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   Chapter 7 Decision Tree
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   Chapter 8 Support Vector Machine
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    Chapter 9 Simple Clustering Algorithms
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    Chapter 10 K Means Algorithm
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    Chapter 11 EM Algorithm
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    Chapter 12 Advanced Clustering
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    Chapter 13 Ensemble Learning
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    Chapter 14 Semi-supervised Learning
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    Chapter 15 Temporal Learning
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    Chapter 16 Reinforcement Learning