Automated Machine Learning: Methods, Systems, Challenges by Hutter, Frank
Automated Machine Learning: Methods, Systems, Challenges by Hutter, Frank

Automated Machine Learning: Methods, Systems, Challenges

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML),...
CHF 119.82
CHF 119.82
SKU: 9783030053178
Product Type: Books
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Author: Frank Hutter
Format: Hardcover
Language: English
Subtotal: CHF 119.82
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Automated Machine Learning: Methods, Systems, Challenges by Hutter, Frank

Automated Machine Learning: Methods, Systems, Challenges

CHF 119.82
Automated Machine Learning: Methods, Systems, Challenges by Hutter, Frank

Automated Machine Learning: Methods, Systems, Challenges

CHF 119.82
Author: Frank Hutter
Format: Hardcover
Language: English
Description
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.



Author: Frank Hutter
Publisher: Springer
Published: 05/28/2019
Pages: 219
Binding Type: Hardcover
Weight: 1.00lbs
Size: 9.49h x 7.39w x 0.56d
ISBN: 9783030053178
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