Understanding machine learning : from theory to algorithms
La quatrième de couverture indique : "Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretica...
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| Autori principali: | , |
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| Natura: | Livre papier |
| Lingua: | Anglais |
| Pubblicazione: |
New York :
Cambridge University Press
C 2014.
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| Soggetti: | |
| Nota: |
Autre tirage: 2018 |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Understanding machine learning, from theory to algorithms, Shai Shalev-Shwartz,... Shai Ben-David,..., 2014, New York, NY, Cambridge University Press, Institute of Mathematical Statistics Textbooks, 978-1-107-29801-9 |
| Riassunto: | La quatrième de couverture indique : "Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering." |
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| Descrizione del documento: | Autre tirage: 2018 |
| Descrizione fisica: | 1 vol. (xvi-397 p.) : ill., couv. ill. en coul. ; 26 cm. |
| Bibliografia: | Bibliogr. p. 385-393. Index |
| ISBN: | 9781107057135 (rel.) |