TY  - BOOK
AU  - Alpaydin,Ethem
AU  - 
TI  - Introduction to machine learning
T2  - Adaptive computation and machine learning
SN  - 9788120350786
U1  - 006.31 23
KW  - Machine learning
N1  - Includes bibliographical references (page 203) and index; Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments; 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. Multilayer 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
ER  -