Automated Machine Learning

Chapter 3: Automated Machine Learning with Open Source Tools and Libraries

"Empowerment of individuals is a key part of what makes open source work since, in the end, innovations tend to come from small groups, not from large, structured efforts."

– Tim O'Reilly

"In open source, we feel strongly that to really do something well, you have to get a lot of people involved."

– Linus Torvalds

In the previous chapter, you looked under the hood of automated Machine Learning (ML) technologies, techniques, and tools. You learned how AutoML actually works – that is, the algorithms and techniques of automated feature engineering, automated model and hyperparameter turning, and automated deep learning. You also explored Bayesian optimization, reinforcement ...