TY  - GEN
AU  - Mitchell T.
TI  - Machine Learning 
SN  - 9781259096952
PY  - 2013///
CY  - New York
PB  - McGrawHill Edu
KW  - Concept Learning and the General-to-Specific Ordering
KW  - Decision Tree Learning
KW  - Artificial Neural Networks
KW  - Evaluating Hypothese
KW  - Computational Learning Theory
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.

Several key algorithms, example date sets, and project- oriented home work assignments discussed in the book are accessible through the World Wide Web.

Feature:

The book covers the concepts and techniques from the various fields in a unified fashion

Covers very recent subjects such as genetic algorithms, reinforcement learning, and inductive logic programming.

Writing style is clear, explanatory and precise."
ER  -