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