Processing ......
Links to Free Computer, Mathematics, Technical Books all over the World
Automated Machine Learning: Methods, Systems, Challenges
The one place to read news all over the world: LinkBasket. Mobile App too.
  • Title: Automated Machine Learning: Methods, Systems, Challenges
  • Author(s) Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
  • Publisher: Springer; 1st ed. (May 28, 2019); eBook (Open Access, Creative Commons Licensed)
  • License(s): CC BY 4.0
  • Hardcover: 233 pages
  • eBook: PDF (223 pages) and ePub
  • Language: English
  • ISBN-10: 3030053172
  • ISBN-13: 978-3030053178
  • Share This:  

Book 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.

About the Authors
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
Book Categories
Other Categories
Resources and Links