Download computer tutorials in PDF

Automated Machine Learning


This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Download free tutorial in PDF (220 pages) created by Frank Hutter .
Pages : 220
Size :
Downloads: 232
Created: 2021-05-15
License: Free
Author(s): Frank Hutter

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263

Download file

Others related eBooks about Automated Machine Learning

Interpretable Machine Learning

This book is about making machine learning models and their decisions interpretable. After..., download free Machine Learning tutorial in PDF (312 pages) created by Christoph Molnar .

Automated Machine Learning: Methods, Systems, Challenges

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems.

Python Machine Learning Projects

Download free course Python Machine Learning Projects, pdf file on 135 pages by Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan.