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Advanced Lectures on Machine Learning

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Cover of 'Advanced Lectures on Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Pattern Classification
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    Chapter 2 Some Notes on Applied Mathematics for Machine Learning
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    Chapter 3 Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
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    Chapter 4 Gaussian Processes in Machine Learning
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    Chapter 5 Unsupervised Learning
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    Chapter 6 Monte Carlo Methods for Absolute Beginners
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    Chapter 7 Stochastic Learning
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    Chapter 8 Introduction to Statistical Learning Theory
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    Chapter 9 Concentration Inequalities
Attention for Chapter 3: Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
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