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Kernel Methods and Machine Learning
S. Y. Kung
[PDF.ry77] Kernel Methods and Machine Learning
Kernel Methods and Machine S. Y. Kung epub Kernel Methods and Machine S. Y. Kung pdf download Kernel Methods and Machine S. Y. Kung pdf file Kernel Methods and Machine S. Y. Kung audiobook Kernel Methods and Machine S. Y. Kung book review Kernel Methods and Machine S. Y. Kung summary
| #2710262 in Books | S Y Kung | 2014-06-23 | Original language:English | PDF # 1 | 9.72 x1.14 x6.85l,3.00 | File type: PDF | 572 pages | Kernel Methods and Machine Learning||13 of 14 people found the following review helpful.| Worst book in machine learning ever|By Jason W|I would give this book a minus 1 star if had this option. I couldn't believe it was a serious work of someone teaching at a school as prestigious as Princeton.
I am a CS grad student studying machine learning at another top university. I got interested in kernel methods recently, so (unfortunately!) I bought this book|About the Author|S. Y. Kung is a Professor in the Department of Electrical Engineering at Princeton University. His research areas include VLSI array/parallel processors, system modeling and identification, wireless communication, statistical signal processing,
Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With ove...
You can specify the type of files you want, for your gadget.Kernel Methods and Machine Learning | S. Y. Kung. A good, fresh read, highly recommended.
