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[Wiley Series in Probability and Statistics] An Elementary Introduction to Statistical Learning Theory (Kulkarni/Statistical Learning Theory) || Introduction: Classification, Learning, Features, and Applications

✍ Scribed by Kulkarni, Sanjeev; Harman, Gilbert

Book ID
119996281
Publisher
John Wiley & Sons, Inc.
Year
2011
Tongue
English
Weight
460 KB
Edition
1
Category
Article
ISBN
0470641835

No coin nor oath required. For personal study only.

✦ Synopsis

A Joint Endeavor From Leading Researchers In The Fields Of Philosophy And Electrical Engineering An Introduction To Statistical Learning Theory Provides A Broad And Accessible Introduction To Rapidly Evolving Field Of Statistical Pattern Recognition And Statistical Learning Theory. Exploring Topics That Are Not Often Covered In Introductory Level Books On Statistical Learning Theory, Including Pac Learning, Vc Dimension, And Simplicity, The Authors Present Upper-undergraduate And Graduate Levels With The Basic Theory Behind Contemporary Machine Learning And Uniquely Suggest It Serves As An Excellent Framework For Philosophical Thinking About Inductive Inference--back Cover.

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