Machine Learning
Mitchell, Tom M.
Machine Learning - Chennai McGraw-Hill, 1997 - xvii, 414 p. Illustration 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 1259096955
Computer algorithms
Machine learning
Algorithmes.
006.31 / MIT
Machine Learning - Chennai McGraw-Hill, 1997 - xvii, 414 p. Illustration 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 1259096955
Computer algorithms
Machine learning
Algorithmes.
006.31 / MIT