April 2018
Beginner to intermediate
282 pages
6h 52m
English
Dear reader, welcome to the world of automated machine learning (ML). Automated ML (AutoML) is designed to automate parts of ML. The readily available AutoML tools make the tasks of data science practitioners easier and are being well received in the advanced analytics community. This book covers the foundations you need to create AutoML modules, and shows how you can get up to speed with them in the most practical way possible.
You will learn to automate different tasks in the ML pipeline, such as data preprocessing, feature selection, model training, model optimization, and much more. The book also demonstrates how to use already available automation libraries, such as auto-sklearn and MLBox, and how to create and extend your own ...