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Can I read Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series) on EtoBox?
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series) by Carl Edward Rasmussen & Christopher K. I. Williams is a computer science book available to read on EtoBox.
What is Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series) about?
<b>A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.</b><p>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 ma
Who reads Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Carl Edward Rasmussen & Christopher K. I. Williams
- Publisher
- The MIT Press
- Published
- 2006
- Language
- EN
- ISBN
- 9781423769903
- Category
- computer science
- Subjects
- Mathematics, Computer Science, Stem
- Rating
- 4.28 / 5 (50 ratings)
- Updated
- 2026-03-13