Introduction to Machine Learning - Brossura

Kodratoff, Yves

Brossura

ISBN 10: 155860037X ISBN 13: 9781558600379

Casa editrice: Morgan Kaufmann Pub, 1993

Riassunto

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

Introduction to Machine Learning synthesizes and clarifies
the work of leading researchers, much of which is otherwise available
only in undigested technical reports, journals, and conference proceedings.
Beginning with an overview suitable for undergraduate readers, Kodratoff
establishes a theoretical basis for machine learning and describes
its technical concepts and major application areas. Relevant logic
programming examples are given in Prolog.

Introduction to Machine Learning is an accessible and original
introduction to a significant research area.

Su questo libro

Dalla quarta di copertina

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

Introduction to Machine Learning synthesizes and clarifies
the work of leading researchers, much of which is otherwise available
only in undigested technical reports, journals, and conference proceedings.
Beginning with an overview suitable for undergraduate readers, Kodratoff
establishes a theoretical basis for machine learning and describes
its technical concepts and major application areas. Relevant logic
programming examples are given in Prolog.

Introduction to Machine Learning is an accessible and original
introduction to a significant research area.

Dettagli dell'edizione

• Editore: Morgan Kaufmann Pub
• Data di pubblicazione: 1993
• Lingua: Inglese
• ISBN 10: 155860037X
• ISBN 13: 9781558600379
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 298
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile