TY  - GEN
AU  - Mitchell, Tom M.
TI  - Machine learning
SN  - 9781259096952
U1  - 006.31 MIT/M 
PY  - 2013///
CY  - Chennai
PB  - McGraw Hill Education
KW  - Computer algorithms
N1  - Table of Contents

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
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N2  - This textbook provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed.


ER  -