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Advanced Lectures on Machine Learning

Overview of attention for book
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
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
2 X users
patent
8 patents
wikipedia
14 Wikipedia pages

Citations

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106 Dimensions

Readers on

mendeley
221 Mendeley
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