Articoli correlati a Machine Learning: A Probabilistic Perspective
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Kevin P. Murphy is a Senior Staff Research Scientist at Google Research.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 89,85
GRATIS per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiRisultati della ricerca per Machine Learning: A Probabilistic Perspective
Foto dell'editore
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Da: Bellwetherbooks, McKeesport, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
hardcover. Condizione: Very Good. Illustrated. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Codice articolo MIT-HC-VG-0262018020
Quantità: 1 disponibili
Foto dell'editore
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Da: SecondSale, Montgomery, IL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00086014445
Quantità: 2 disponibili
Foto dell'editore
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Da: SecondSale, Montgomery, IL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00087871973
Quantità: 1 disponibili
Foto dell'editore
Machine Learning: A Probabilistic Perspective
Da: Anybook.com, Lincoln, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo 9547683
Quantità: 1 disponibili
Foto dell'editore
Machine Learning: A Probabilistic Perspective
Da: Anybook.com, Lincoln, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo 9547682
Quantità: 1 disponibili
Foto dell'editore
Machine Learning : A Probabilistic Perspective
Editore:
The MIT Press, Cambridge, Massachusetts, 2012
ISBN 10: 0262018020
ISBN 13: 9780262018029
Antico o usato
Rilegato
Da: Barnaby, Oxford, Regno Unito
Valutazione del venditore 4 su 5 stelle
Hardcover. Condizione: 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. Codice articolo 250310SH7205
Quantità: 4 disponibili
Foto dell'editore
Machine Learning : A Probabilistic Perspective
Da: Basi6 International, Irving, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEJUNE24-3440
Quantità: 1 disponibili
Foto dell'editore
MACHINE LEARNING
Da: Speedyhen, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: NEW. Codice articolo NW9780262018029
Quantità: 4 disponibili
Foto dell'editore
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Editore:
The MIT Press (edition Illustrated), 2012
ISBN 10: 0262018020
ISBN 13: 9780262018029
Antico o usato
Rilegato
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Good. Illustrated. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Codice articolo 0262018020-11-1
Quantità: 1 disponibili
Foto dell'editore
Machine Learning
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 1104. Codice articolo 2654480373
Quantità: 3 disponibili