Articles liés à Foundations of Machine Learning
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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 Assistant Professor in the Machine Learning Department at Carnegie Mellon University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurThe MIT Press
- Date d'édition2012
- ISBN 10 026201825X
- ISBN 13 9780262018258
- ReliureRelié
- Langueanglais
- Nombre de pages412
- Coordonnées du fabricantnon disponible
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Foundations of Machine Learning
Edité par
MIT Press, Cambridge, 2012
ISBN 10 : 026201825X
ISBN 13 : 9780262018258
Ancien ou d'occasion
Couverture rigide
Vendeur : Argosy Book Store, ABAA, ILAB, New York, NY, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
hardcover. Etat : fine. Illustrated with diagrams throughout. xii, 415 pages. 8vo, white glossy pictorial boards. MA: MIT Press, (2012). A fine copy with a clean interior. N° de réf. du vendeur 310978
Quantité disponible : 1 disponible(s)
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Foundations of Machine Learning
Edité par
MIT Press, 2012
ISBN 10 : 026201825X
ISBN 13 : 9780262018258
Ancien ou d'occasion
Couverture rigide
Vendeur : TextbookRush, Grandview Heights, OH, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : Very 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! N° de réf. du vendeur 52711121
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Image d'archives
Foundations of Machine Learning
Edité par
MIT Press, 2012
ISBN 10 : 026201825X
ISBN 13 : 9780262018258
Ancien ou d'occasion
Couverture rigide
Vendeur : TextbookRush, Grandview Heights, OH, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : 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! N° de réf. du vendeur 52668605
Quantité disponible : 2 disponible(s)
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Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Edité par
The MIT Press, 2012
ISBN 10 : 026201825X
ISBN 13 : 9780262018258
Ancien ou d'occasion
Couverture rigide
Vendeur : SGS Trading Inc, Franklin Lakes, NJ, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking. N° de réf. du vendeur UJune2019-026201825X-449
Quantité disponible : 2 disponible(s)