Machine Learning
Tom M Mitchell
Machine Learning /Tom M Mitchell - New York : McGraw-Hill , ©1997. - xvii, 414 pages ; 25 cm - McGraw-Hill series in computer science. .
1. Introduction --
2. Concept Learning and the General-to-Specific Ordering --
3. Decision Tree Learning --
4. Artificial Neural Networks --
5. Evaluating Hypotheses --
6. Bayesian Learning --
7. Computational Learning Theory --
8. Instance-Based Learning --
9. Genetic Algorithms --
10. Learning Sets of Rules --
11. Analytical Learning --
12. Combining Inductive and Analytical Learning --
13. Reinforcement Learning.
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.
9781259096952
Brijwasi Book Distributors H-87, Lalita Park,Laxmi Nagar,Delhi-110092
Computer Science
Machine learning--Computer algorithms
006.31 MIT
Machine Learning /Tom M Mitchell - New York : McGraw-Hill , ©1997. - xvii, 414 pages ; 25 cm - McGraw-Hill series in computer science. .
1. Introduction --
2. Concept Learning and the General-to-Specific Ordering --
3. Decision Tree Learning --
4. Artificial Neural Networks --
5. Evaluating Hypotheses --
6. Bayesian Learning --
7. Computational Learning Theory --
8. Instance-Based Learning --
9. Genetic Algorithms --
10. Learning Sets of Rules --
11. Analytical Learning --
12. Combining Inductive and Analytical Learning --
13. Reinforcement Learning.
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.
9781259096952
Brijwasi Book Distributors H-87, Lalita Park,Laxmi Nagar,Delhi-110092
Computer Science
Machine learning--Computer algorithms
006.31 MIT
