[PDF.67lg] Machine Learning: A Bayesian and Optimization Perspective (Net Developers)

Machine Learning: A Bayesian and Optimization Perspective (Net Developers)

[PDF.zf03] Machine Learning: A Bayesian and Optimization Perspective (Net Developers)

Machine Learning: A Bayesian  Sergios Theodoridis epub
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 | #239807 in Books |  ACADEMIC PRESS |  2015-04-10 | Original language:English | PDF # 1 |  2.00 x7.60 x9.30l,5.16 | File type: PDF | 1062 pages

 | ACADEMIC PRESS

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||5 of 5 people found the following review helpful.| Great book for professionals|By Customer|The author put the machine learning and parameter estimation in systemic and unifying framework. This is a great book for professional engineers who want to know the whole picture of the machine learning, the classic and new advanced ones. It answers a lot of my questions that I cannot get from other books. I really enjoy reading it. ||"Overall, this text is well organized and full of details suitable for advanced graduate and postgraduate courses, as well as scholars…" --Computing s |"Machine Learning: A Bayesian and Optimization Perspective", Academic Press, 2105, by Sergio

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. The book presents the major machine learning methods as they have been developed in different disciplines, such as statistics, statistical and adaptive signal proce...

You easily download any file type for your device.Machine Learning: A Bayesian and Optimization Perspective (Net Developers)   |  Sergios Theodoridis. A good, fresh read, highly recommended.

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