[PDF.00rj] Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)

[PDF.oz16] Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)

Gaussian Processes for Machine  Carl Edward Rasmussen, Christopher K. I. Williams epub
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 | #87217 in Books |  imusti |  2005-11-23 | Original language:English | PDF # 1 |  10.00 x.75 x8.00l,1.65 | File type: PDF | 266 pages

 | Mit Press

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||11 of 13 people found the following review helpful.| Easily worth three times its price.|By Steven B.|Even though this is not a cookbook on Gaussian Processes, the explanations are clear and to the point.

The book is highly technical but it also does a great job explaining how Gaussian Processes fit in the big picture regarding the last few decades in the Machine Learning field and how they are related in some ways t| |||About the Author||Carl Edward Rasmussen is a Lecturer at the Department of Engineering, University of Cambridge, and Adjunct Research Scientist at the Max Planck Institute for Biological Cybernetics, Tübingen.

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics...

You can specify the type of files you want, for your gadget.Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)   |  Carl Edward Rasmussen, Christopher K. I. Williams. I was recommended this book by a dear friend of mine.

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