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Automated Machine Learning

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Cover of 'Automated Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Hyperparameter Optimization
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    Chapter 2 Meta-Learning
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    Chapter 3 Neural Architecture Search
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    Chapter 4 Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA
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    Chapter 5 Hyperopt-Sklearn
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    Chapter 6 Auto-sklearn: Efficient and Robust Automated Machine Learning
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    Chapter 7 Towards Automatically-Tuned Deep Neural Networks
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    Chapter 8 TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning
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    Chapter 9 The Automatic Statistician
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    Chapter 10 Analysis of the AutoML Challenge Series 2015–2018
Attention for Chapter 7: Towards Automatically-Tuned Deep Neural Networks
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