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Inhaltsangabe
Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms.
This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.
Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book.
The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar.
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Über die Autorinnen und Autoren
Mehryar Mohri is Professor of Computer Science at New York University's Courant Institute of Mathematical Sciences and a Research Consultant at Google Research.
Afshin Rostamizadeh is a Research Scientist at Google Research.
Ameet Talwalkar is a National Science Foundation Postdoctoral Fellow in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley.
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- VerlagMIT Press
- Erscheinungsdatum2012
- ISBN 10 026201825X
- ISBN 13 9780262018258
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten432
- Kontakt zum HerstellerNicht verfügbar
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Foundations of Machine Learning
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hardcover. Zustand: fine. Illustrated with diagrams throughout. xii, 415 pages. 8vo, white glossy pictorial boards. MA: MIT Press, (2012). A fine copy with a clean interior. Bestandsnummer des Verkäufers 310978
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Foundations of Machine Learning
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Foundations of Machine Learning
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Zustand: Good. Expedited orders RECEIVED in 1-5 business days within the United States. Orders ship SAME or NEXT business day. We proudly ship to APO/FPO addresses. 100% Satisfaction Guaranteed! Bestandsnummer des Verkäufers 52668605
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Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
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Hardcover. Zustand: Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking. Bestandsnummer des Verkäufers UJune2019-026201825X-449
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