Introduction to Machine Learning

A textbook suitable for undergraduate courses in machine learningand related topics, this book provides a broad survey of the field.Generous exercises and examples give students a firm grasp of theconcepts and techniques of this rapidly developing, challenging subject.Introduction to Machine Learnin...

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Bibliographic Details
Main Author Kodratoff, Yves
Format eBook
LanguageEnglish
Published Chantilly Elsevier Science & Technology 1993
Morgan Kaufmann
Edition1
Subjects
Machine learning
Online AccessGet full text
ISBN155860037X
9781558600379

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Summary:A textbook suitable for undergraduate courses in machine learningand related topics, this book provides a broad survey of the field.Generous exercises and examples give students a firm grasp of theconcepts and techniques of this rapidly developing, challenging subject.Introduction to Machine Learning synthesizes and clarifiesthe work of leading researchers, much of which is otherwise availableonly in undigested technical reports, journals, and conference proceedings.Beginning with an overview suitable for undergraduate readers, Kodratoffestablishes a theoretical basis for machine learning and describesits technical concepts and major application areas. Relevant logicprogramming examples are given in Prolog.Introduction to Machine Learning is an accessible and originalintroduction to a significant research area.
ISBN:155860037X
9781558600379