Machine Learning

By:

Mitchell T

Publication details: McGrawHill Edu 2013 New YorkDescription: 414ppISBN:

9781259096952

Subject(s):

Summary: 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."

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	MKSSS s K.B. Joshi Institute of Information Technology Library		MCA							Available (not for issue)	2888		KBJP-BK-2888

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."

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