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-con
Machine learning : a probabilistic perspective
โ Scribed by Murphy, Kevin P., 1970-
- Publisher
- Cambridge, MA : MIT Press
- Year
- 2012
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Includes bibliographical references (p. [1015]-1045) and indexes
๐ SIMILAR VOLUMES
<P>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-
<P>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
instructor's manual officially retrieved off MIT Press -- if you ever find errors in it (there might be some), blame it on the author. this is that sort of "everything" book that can launch its readers to the state of the art in ML; it's also very readable provided that you don't give up during the