INTRODUCTION TO MACHINE LEARNING
ALPAYDIN
INTRODUCTION TO MACHINE LEARNING - JAICO PUB HOUSE 2008
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
9788120327917
INTRODUCTION TO MACHINE LEARNING
006.31 ALP-I
INTRODUCTION TO MACHINE LEARNING - JAICO PUB HOUSE 2008
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
9788120327917
INTRODUCTION TO MACHINE LEARNING
006.31 ALP-I