Automated Machine Learning is popular PDF and ePub book, written by Frank Hutter in 2019-05-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Automated Machine Learning can be Read Online from any device for your convenience.
Automated Machine Learning Book PDF 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.
Detail Book of Automated Machine Learning PDF
- Author : Frank Hutter
- Release : 17 May 2019
- Publisher : Springer
- ISBN : 9783030053185
- Genre : Computers
- Total Page : 223 pages
- Language : English
- PDF File Size : 14,9 Mb
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