contents

 

front matter

preface

acknowledgments

about this book

about the authors

about the cover illustration

Part 1 Fundamentals of AutoML

1 From machine learning to automated machine learning

1.1 A glimpse of automated machine learning

1.2 Getting started with machine learning

What is machine learning?

The machine learning process

Hyperparameter tuning

The obstacles to applying machine learning

1.3 AutoML: The automation of automation

Three key components of AutoML

Are we able to achieve full automation?

2 The end-to-end pipeline of an ML project

2.1 An overview of the end-to-end pipeline

2.2 Framing the problem and assembling the dataset

2.3 Data preprocessing