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ISRHEWs |

Preface
Notations
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. Multiplayer perceptrons
12. Local models;
13. Kernel machines;
14. Graphical models
15. Hidden Markov models
16. Bayesian estimation;
17. Combining multiple learners;
18. Reinforcement learning;
19. Design and analysis of machine learning experiments;
a. Probability
index.

Publisher‏:‎PHI Learning Pvt. Ltd.; Third edition (25 January 2015)
Language‏:‎English
Paperback‏:‎640 pages
ISBN-10‏:‎8120350782
ISBN-13‏:‎978-8120350786
Item Weight‏:‎1 kg 100 g
Dimensions‏:‎20 x 14 x 4 cm
Country of Origin‏:‎India

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