📕 Automated Machine Learning: The Free eBook

✒️ By Matthew Mayo

There is a lot to learn about automated machine learning theory and practice. This free eBook can get you started the right way.

The book's table of contents is as follows:

Part I: AutoML Methods
1. Hyperparameter Optimization
2. Meta-Learning
3. Neural Architecture Search

Part II: AutoML Systems
4. Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA
5. Hyperopt-Sklearn
6. Auto-sklearn: Efficient and Robust Automated Machine Learning
7. Towards Automatically-Tuned Deep Neural Networks
8. TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning
9. The Automatic Statistician

Part III: AutoML Challenges
10. Analysis of the AutoML Challenge Series 2015–2018
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📌Via: @cedeeplearning

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