Machine Learning
Mitchell, Tom M
Machine Learning - Chennai McGraw Hill Education Private limited 2017 - xvii,414 p. 23 cm ; Pbk
GratisRs.473/-
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.
978-1259096952
Computer algorithms
Machine learning
006.31MIT
Machine Learning - Chennai McGraw Hill Education Private limited 2017 - xvii,414 p. 23 cm ; Pbk
GratisRs.473/-
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.
978-1259096952
Computer algorithms
Machine learning
006.31MIT