01360 a2200217 4500 OSt 20251210123157.0 251209b |||||||| |||| 00| 0 eng d 9781259096952 Mitchell T. 215695 Machine Learning McGrawHill Edu 2013 New York 414pp 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." Concept Learning and the General-to-Specific Ordering 215761 Decision Tree Learning 215762 Artificial Neural Networks 215763 Evaluating Hypothese 215764 Computational Learning Theory 215765 BK ddc 369314 369314 0 0 ddc 0 0 MCA 001 001 2025-12-06 8 1155.00 0 KBJP-BK-2888 2025-12-06 00:00:00 1540.00 2025-12-06 BK 2888