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Theoretical and Computational Chemistry Series
Machine Learning in Chemistry: The Impact of Artificial Intelligence
Edited by
Hugh M Cartwright
Hugh M Cartwright
Oxford University (retired), UK
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Hardback ISBN:
978-1-78801-789-3
PDF ISBN:
978-1-83916-023-3
EPUB ISBN:
978-1-83916-024-0
Special Collection:
2020 ebook collection
No. of Pages:
546
Publication date:
15 Jul 2020
Book Chapter
Chapter 2: How Do Machines Learn?
By
Timothy E. H. Allen
Timothy E. H. Allen
Centre for Molecular Informatics, Department of Chemistry, University of Cambridge
Lensfield Road
Cambridge
CB2 1EW
UK
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Published:15 Jul 2020
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Special Collection: 2020 ebook collection
Page range:
16 - 36
Citation
T. E. H. Allen, in Machine Learning in Chemistry
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A key question in machine learning is how learning is accomplished. Humans learn through experience in our lives, and it would be extremely beneficial to have machines that can do the same thing. Therefore, we should try to develop them, especially as machines are far better at some tasks than humans, such as large-scale mathematical calculations and high-capacity data storage. But how to find a way to make a machine learn? This is an entirely different problem, which this chapter addresses.
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