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Introduction to Machine Learning (Adaptive Computation and Machine Learning)
 
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Introduction to Machine Learning (Adaptive Computation and Machine Learning) (Hardcover)

by E Alpaydin (Author)
5.0 out of 5 stars  See all reviews (1 customer review)
RRP: £39.95
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Total RRP: £138.93
Price For All Three: £110.23

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Product details

  • Hardcover: 445 pages
  • Publisher: MIT Press (16 Nov 2004)
  • Language English
  • ISBN-10: 0262012111
  • ISBN-13: 978-0262012119
  • Product Dimensions: 22.9 x 20.6 x 2.5 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 550,177 in Books (See Bestsellers in Books)

    Popular in these categories:

    #49 in  Books > Computing & Internet > Computer Science > Algorithms > Machine Learning
    #56 in  Books > Computing & Internet > Computer Science > Artificial Intelligence > Machine Learning

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1 of 2 people found the following review helpful:
5.0 out of 5 stars Introduction with references for further reading, 22 Dec 2007
By Ahmet Tekelioglu (Istanbul, Turkey) - See all my reviews
(REAL NAME)   
This book covers quite a few topics in machine learning, each in a different chapter.
1. Introduction
2. Supervised Learning
3. Bayesian Decision Theory
4. Parametric Methods
5. Multivariate Methods
6. Dimensionality Reduction
7. Clustering
8. Nonparametric Methods
9. Decision Trees
10. Linear Discrimination
11. Multilayer Perceptrons
12. Local Models
13. Hidden Markov Models
14. Assessing and Comparing Classification Algorithms
15. Conbining Multiple Learners
16. Reinforcement Learning

Every chapter has useful notes, references and exercises. The author assumes knowledge of probability and on occasion, skips steps when introducing the formulas. His website has slides and those who have a password can see the solutions to the exercises. Overall, it looks like a good introduction or reference book that covers everything and offers references for further reading.
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