Machine learning : a Bayesian and optimization perspective /
"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"...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam [Netherlands] :
Academic Press,
2015.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
| Summary: | "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 |
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| Physical Description: | 1 online resource (1,075 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780128017227 0128017228 |
| Source of Description, Etc. Note: | Online resource; title from PDF title page (ebrary, viewed April 15, 2015). |