Understanding Machine Learning From Theory to Algorithms
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Understanding Machine Learning From Theory to Algorithms
Machine learning is one of the fastest growing areas of computer science with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the hows and whys of machine-learning algorithms making the field accessible to both students and practitioners.
- 品牌: Unbranded
- 类别: 计算机与互联网
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语言: English
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作者: Understanding Machine Learning: From Theory to Algorithms
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出版日期: 2023-06-03
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页数: 410
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出版社/标签: Cambridge University Press
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格式: Hardback
- Fruugo ID: 528172090-1072679386
- ISBN: 9781107057135
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