Articles liés à Machine Learning: A Probabilistic Perspective
Synopsis
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Kevin P. Murphy is a Senior Staff Research Scientist at Google Research.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 84,41
EUR 6,98 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisRésultats de recherche pour Machine Learning: A Probabilistic Perspective
Image d'archives
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Edité par
The MIT Press (edition Illustrated), 2012
ISBN 10 : 0262018020
ISBN 13 : 9780262018029
Ancien ou d'occasion
Couverture rigide
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Good. Illustrated. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. N° de réf. du vendeur 0262018020-11-1
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Edité par
The MIT Press, 2012
ISBN 10 : 0262018020
ISBN 13 : 9780262018029
Ancien ou d'occasion
Couverture rigide
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00087871973
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Edité par
The MIT Press, 2012
ISBN 10 : 0262018020
ISBN 13 : 9780262018029
Ancien ou d'occasion
Couverture rigide
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00086014445
Quantité disponible : 2 disponible(s)
Image d'archives
Machine Learning: A Probabilistic Perspective
Edité par
MIT Press, 2012
ISBN 10 : 0262018020
ISBN 13 : 9780262018029
Ancien ou d'occasion
Couverture rigide
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2050grams, ISBN:9780262018029. N° de réf. du vendeur 9547682
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning: A Probabilistic Perspective
Edité par
MIT Press, 2012
ISBN 10 : 0262018020
ISBN 13 : 9780262018029
Ancien ou d'occasion
Couverture rigide
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2050grams, ISBN:9780262018029. N° de réf. du vendeur 9547683
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning : A Probabilistic Perspective
Edité par
The MIT Press, Cambridge, Massachusetts, 2012
ISBN 10 : 0262018020
ISBN 13 : 9780262018029
Ancien ou d'occasion
Couverture rigide
Vendeur : Barnaby, Oxford, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Hardcover. Etat : Good. Former academic library book, with library bookplate to front pastedown; ink stamps to endpapers and text-block edges, including withdrawn stamp; spine label and shelf number to spine. Some pages a little marked and creased, but free from notes or highlighting. Overall, sound and serviceable. Publisher's note: "This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover. Size: 23.6 x 21.1 x 4.1 cm. xxix, 1067 pp. Shipped Weight: 1-2 kilos. Category: Computers & Internet; Machine learning; Probabilities; Probabilities; ISBN: 0262018020. ISBN/EAN: 9780262018029. Add. Inventory No: 250310SH7205. N° de réf. du vendeur 250310SH7205
Quantité disponible : 4 disponible(s)
Image d'archives
MACHINE LEARNING
Vendeur : Speedyhen, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : NEW. N° de réf. du vendeur NW9780262018029
Quantité disponible : 4 disponible(s)
Image d'archives
Machine Learning : A Probabilistic Perspective
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-3440
Quantité disponible : 1 disponible(s)
Image d'archives
Machine Learning
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. 1104. N° de réf. du vendeur 2654480373
Quantité disponible : 3 disponible(s)
Image d'archives
Machine Learning : A Probabilistic Perspective
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-278471
Quantité disponible : 5 disponible(s)