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MACHINE LEARNING (Int'l Ed) (College Ie Overruns) Paperback – 1 Oct 1997

5.0 out of 5 stars 7 customer reviews

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Product details

  • Paperback: 352 pages
  • Publisher: McGraw-Hill Education; International edition edition (1 Oct. 1997)
  • Language: English
  • ISBN-10: 0071154671
  • ISBN-13: 978-0071154673
  • Product Dimensions: 16.7 x 3.3 x 24.1 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Bestsellers Rank: 387,308 in Books (See Top 100 in Books)
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  • See Complete Table of Contents

Product description

From the Publisher

No other book covers the concepts and techniques from the various fields in a unified fashion.
Covers very recent subjects such as genetic algorithms, reinforcement learning, and inductive logic programming.
Writing style is clear, explanatory and precise.

From the Author

Table of Contents:

1. Introduction
2. Concept Learning and General-to-Specific Ordering
3. Decision Tree Learning
4. Artificial Neural Networks
5. Evaluating Hypotheses
6. Bayesian Learning
7. Computational Learning Theory
8. Instance-Based Learning
9. Genetic Algorithms
10. Learning Sets of Rules
11. Analytical Learning
12. Combining Inductive and Analytical Learning
13. Reinforcement Learning

Includes web-accessible data and code.
--This text refers to the Hardcover edition.



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on 16 July 1999
Format: Hardcover
0Comment| 11 people found this helpful. Was this review helpful to you?YesNoReport abuse
on 26 February 2012
Format: Paperback
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on 17 May 2011
Format: Paperback
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on 6 November 2014
Format: Paperback|Verified Purchase
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on 10 May 1999
Format: Hardcover
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on 23 December 2015
Format: Paperback|Verified Purchase
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on 20 May 2001
Format: Paperback
0Comment| 7 people found this helpful. Was this review helpful to you?YesNoReport abuse

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