Automated Machine Learning Book Reviews

AUTHOR
Frank Hutter, Lars Kotthoff & Joaquin Vanschoren
SCORE
0
TOTAL RATINGS
114

Automated Machine Learning by Frank Hutter, Lars Kotthoff & Joaquin Vanschoren Book Summary

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. 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.

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Book Name Automated Machine Learning
Genre Computers & Internet
Published
Language English
E-Book Size 14.27 MB

Automated Machine Learning (Frank Hutter, Lars Kotthoff & Joaquin Vanschoren) Book Reviews 2024

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Summary of Automated Machine Learning by Frank Hutter, Lars Kotthoff & Joaquin Vanschoren

The Automated Machine Learning book written by Frank Hutter, Lars Kotthoff & Joaquin Vanschoren was published on 17 May 2019, Friday in the Computers & Internet category. A total of 114 readers of the book gave the book 0 points out of 5.

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