Automated Machine Learning Methods, Systems, Challenges

Automated Machine Learning Methods, Systems, Challenges

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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...

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Bibliographic Details
Other Authors: Hutter, Frank (Editor), Kotthoff, Lars (Editor), Vanschoren, Joaquin (Editor)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2019
Series:The Springer Series on Challenges in Machine Learning
Subjects:
Artificial intelligence
Pattern recognition
Image processing
Computer science
Optical data processing
Online Access:DOAB: download the publication
DOAB: description of the publication
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