| Verfasst von: | Shalev-Shwartz, Shai [VerfasserIn]  |
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| | Ben-David, Shai [VerfasserIn] |
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| Titel: | Understanding machine learning |
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| Titelzusatz: | from theory to algorithms |
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| Verf.angabe: | Shai Shalev-Shwartz (The Hebrew University, Jerusalem), Shai Ben-David (University of Waterloo, Canada) |
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| Verlagsort: | Cambridge ; New York, NY; Port Melbourne ; Delhi ; Singapore |
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| Verlag: | Cambrige University Press |
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| E-Jahr: | 2014 |
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| Jahr: | [2014] |
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| Umfang: | xvi, 397 Seiten |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Literaturverzeichnis: Seite 385-393 ; Hier auch später erschienene, unveränderte Nachdrucke |
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| ISBN: | 978-1-107-05713-5 |
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| Abstract: | 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 an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed 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 an advanced undergraduate or beginning graduate course, 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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| URL: | Cover ; Verlag: http://assets.cambridge.org/97811070/57135/cover/9781107057135.jpg |
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| | Inhaltstext: https://zbmath.org/?q=an:1305.68005 |
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| Schlagwörter: | (s)Maschinelles Lernen |
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| | (s)Maschinelles Lernen |
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| Dokumenttyp: | Lehrbuch |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Online-Ausgabe: Shalev-Shwartz, Shai, 1975 - : Understanding machine learning. - Cambridge : Cambrige Univ. Press, 2014. - Online-Ressource (XVI, 397 S.) |
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| | Erscheint auch als : Online-Ausgabe: Shalev-Shwartz, Shai, 1975 - : Understanding machine learning. - First publication. - Cambridge : Cambridge University Press, 2014. - 1 Online-Ressource (XVI, 397 Seiten) |
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| RVK-Notation: | ST 300 |
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| | ST 301 |
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| | ST 302 |
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| K10plus-PPN: | 1612684807 |
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