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Hyperparameter Tuning for Machine and Deep Learning with R

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Cover of 'Hyperparameter Tuning for Machine and Deep Learning with R'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Tuning: Methodology
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    Chapter 3 Models
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    Chapter 4 Hyperparameter Tuning Approaches
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    Chapter 5 Ranking and Result Aggregation
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    Chapter 6 Hyperparameter Tuning and Optimization Applications
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    Chapter 7 Hyperparameter Tuning in German Official Statistics
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    Chapter 8 Case Study I: Tuning Random Forest (Ranger)
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    Chapter 9 Case Study II: Tuning of Gradient Boosting (xgboost)
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    Chapter 10 Case Study III: Tuning of Deep Neural Networks
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    Chapter 11 Case Study IV: Tuned Reinforcement Learning (in Python )
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    Chapter 12 Global Study: Influence of Tuning
Attention for Chapter 5: Ranking and Result Aggregation
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