2022
Part 1—Fundamentals of AutoML
1.From machine learning to automated machine learning
2 The end-to-end pipeline of an ML project
3 Deep learning in a nutshell

Part 2—AutoML in practice
4 Automated generation of end-to-end ML solutions
5 Customizing the search space by creating AutoML pipelines
6 AutoML with a fully customized search space
7 Customizing the search method of AutoML
8 Scaling up AutoML
9 Wrapping up

1.From machine learning to automated machine learning

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

3 Deep learning in a nutshell

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