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Machine Learning Principles and Techniques (Chapman and Hall Computing Series) Paperback - 1989
by Richard Forsyth
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- Title Machine Learning Principles and Techniques (Chapman and Hall Computing Series)
- Author Richard Forsyth
- Binding Paperback
- Edition U. S. EDITION
- Publisher Chapman & Hall, Norwell, Massachusetts, U.S.A.
- Date June 1989
- ISBN 9780412305801
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Machine Learing: Principles And Techniques
by Forsyth R.
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Machine Learning: Principles and Techniques
by Richard Forsyth
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Chapman & Hall, 1989. Paperback. Good. Former library book. Slightly creased cover. Dog-eared pages. Edition 1989. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Machine Learning: Principles and Techniques
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Springer , pp. 256 . Papeback. New.
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Machine Learing: Principles And Techniques
by Forsyth R.
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New Delhi, India
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New/New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!
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Machine Learning: Principles and Techniques (Chapman and Hall Computing Series)
by Editor-Richard Forsyth
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Chapman & Hall, 1989-06. Paperback. Good.
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MACHINE LEARING: PRINCIPLES AND TECHNIQUES
by FORSYTH R.
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SP CHAPMAN & HALL. NEW. All Books in Brand New condition��..Book May dispatch from the US or the UK Standard Delivery is usually 5 to 7 days Tracking whenever available
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Machine Learing: Principles And Techniques
by Forsyth R.
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- 9780412305801 / 0412305801
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Db Chapman & Hall, 1989. New.
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Machine Learing: Principles And Techniques
by Forsyth R.
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- ISBN 10 / ISBN 13
- 9780412305801 / 0412305801
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- 500
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Db Chapman & Hall, 1989. New.
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MACHINE LEARING: PRINCIPLES AND TECHNIQUES
by FORSYTH R.
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- ISBN 10 / ISBN 13
- 9780412305801 / 0412305801
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NEW DELHI, Delhi, India
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SP CHAPMAN & HALL. NEW. Brand New Books -- Tracking whenever available
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Machine Learning: Principles and Techniques (Chapman and Hall Computing Series)
by Forsyth, Richard
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Kraków, Poland
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Chapman & Hall, 1989 8vo (23 cm), XV, 255 pp. Laminated wrappers (ownership entry on title). "This book aims to present the key findings of machine learning research, explained by experts in the field, in an accessible manner for both students and computer professionals. The authors attempt to convey some of the excitement of working in this dynamic area at the frontier of computer science. They also show how the techniques described can lead to practical results." (from the blurb)
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