Machine Learning
A Probabilistic Perspective
(Sprache: Englisch)
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Jetzt vorbestellen
versandkostenfrei
Buch (Gebunden)
Fr. 165.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „Machine Learning “
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Klappentext zu „Machine Learning “
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.
Autoren-Porträt von Kevin P. Murphy
Kevin P. Murphy is a Senior Staff Research Scientist at Google Research.
Bibliographische Angaben
- Autor: Kevin P. Murphy
- 2012, 1104 Seiten, 300 farbige Abbildungen, Masse: 20,3 x 23,4 cm, Gebunden, Englisch
- Verlag: MIT Press
- ISBN-10: 0262018020
- ISBN-13: 9780262018029
- Erscheinungsdatum: 18.10.2016
Sprache:
Englisch
Pressezitat
This comprehensive book should be of great interest to learners and practitioners in the field of machine learning. British Computer Society
Kommentar zu "Machine Learning"
0 Gebrauchte Artikel zu „Machine Learning“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Machine Learning".
Kommentar verfassen