TY  - BOOK
AU  - ALPAYDIN
AU  - Ethem ALPAYDIN
TI  - INTRODUCTION TO MACHINE LEARNING
SN  - 9788120327917
U1  - 006.31 ALP-I 
PY  - 2008///
PB  - JAICO PUB HOUSE
KW  - INTRODUCTION TO MACHINE LEARNING
N1  - 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
UR  - https://books.google.co.in/books?id=1k0_-WroiqEC&printsec=frontcover&dq=introduction+to+machine+learning+by+alpaydin&hl=en&sa=X&ved=0ahUKEwiWv5DPkLPhAhVqmeAKHV1HBIIQ6AEINDAC#v=onepage&q=introduction%20to%20machine%20learning%20by%20alpaydin&f=false
ER  -