
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. 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. ...
DETAILS
Machine Learning
A Probabilistic Perspective
Murphy, Kevin P.
Gebunden, 1104 S.
300 COLOR ILLUS., 165 B&W ILLUS.
Sprache: Englisch
9.2700 in
ISBN-13: 978-0-262-01802-9
Titelnr.: 59953828
Gewicht: 1916 g
MIT Press (2012)
The MIT Press c/o Penguin Random House LLC
400 Hahn Road
USA-MD 21157 Westminster
jeinstein@penguinrandomhouse.com