INTRODUCTION TO MACHINE LEARNING
Material type: TextPublication details: JAICO PUB HOUSE 2008ISBN:- 9788120327917
- 006.31 ALP-I
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006.3 RIC-A Artificial Intilligence | 006.3 RIC-A Artificial Intilligence | 006.31 ALP-I INTRODUCTION TO MACHINE LEARNING | 006.31 ALP-I INTRODUCTION TO MACHINE LEARNING | 006.31 ALP-I INTRODUCTION TO MACHINE LEARNING | 006.31 ALP-I INTRODUCTION TO MACHINE LEARNING | 006.31 ALP-I INTRODUCTION TO MACHINE LEARNING |
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
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