Automated Machine Learning 1st edition by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren – Ebook PDF Instant Download/Delivery: B07S3MLGFW , 978-3030053185
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Product details:
ISBN 10: B07S3MLGFW
ISBN 13: 978-3030053185
Author: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
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.
Automated Machine Learning 1st Table of contents:
Chapter1 : Introduction
Chapter 2: Content
Chapter 3: Conclusion
Chapter 4: Appendices
Chapter 5: Glossary
Chapter 6: References
Chapter 7: Index
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Tags: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren, Automated Machine Learning