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Elementary Introduction to Statistical Learning Theory (Hardcover)

Author: Sanjeev Kulkarni,Gilbert Harman

Sanjeev Kulkarni,Gilbert Harman (Author)
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Net Price: $117.43
In stock
Leadtime to ship in days (default): Usually ships in 25 Days
9780470641835
Price in points: 8784 points
Reward points: 88 points
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Description

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system.

Features

Author:
Sanjeev Kulkarni,Gilbert Harman
Binding:
Paperback
Condition Type:
New
Country Origin:
USA
Edition :
1
Leadtime to ship in days (default):
Usually ships in 25 Days
Page:
232
Publisher:
Wiley International Editions
Year:
2011

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