Machine Learning
A Bayesian and Optimization Perspective
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Word Count
265,500 words, Guess
Page Count
1,062 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL28129950M
- ISBN-139780128015223
- ISBN-100128015225
- OCLC Control Number893899296
- Internet Archivemachinelearningb0000theo
Classifications
- LCCQ325.5
- LCCQ325.5 .T446 2015eb
Description
"This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches--which are based on optimization techniques--together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models"--Publisher's website.
Subjects
Other Editions
- Machine Learning: A Bayesian and Optimization Perspective
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