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.
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.
Imprint | Morgan Kaufmann Publishers In |
Country of origin | United States |
Release date | March 1989 |
Availability | We don't currently have any sources for this product. If you add this item to your wish list we will let you know when it becomes available. |
Authors | Yves Kodratoff |
Format | Electronic book text |
Pages | 298 |
ISBN-13 | 978-0-08-050930-3 |
Barcode | 9780080509303 |
Categories | |
LSN | 0-08-050930-4 |