November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Reference resources
A very understandable book on the topic of SVMs is An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by NelloChristiani and John Shawe-Taylor.
Another respectable reference that offers an insightful association between SVMs and a related type of neural network known as a Radial Basis Function Network is Neural Networks and Learning Machines by Simon Haykin, which we also referenced in Chapter 5, Neural Networks.
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