Comments: Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text. Possible clean ex-library copy, with their stickers and or stamp(s).
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Publisher: Elsevier Science & Technology Books
Weiss, Sholom M., Kulikowski, Casimir A.
This book is a practical guide to classification learning systems and their applications. These computer programs learn from sample data and make predictions for new cases, sometimes exceeding the performance of humans. Practical learning systems from statistical pattern recognition, neural networks, and machine learning are presented. The authors examine prominent methods from each area, using an engineering approach and taking the practitioner's viewpoint. Intuitive explanations with a minimum of mathematics make the material accessible to anyone--regardless of experience or special interests. The underlying concepts of the learning methods are discussed with fully worked-out examples: their strengths and weaknesses, and the estimation of their future performance on specific applications. Throughout, the authors offer their own recommendations for selecting and applying learning methods such as linear discriminants, back-propagation neural networks, or decision trees. Learning systems are then contrasted with their rule-based counterparts from expert systems.Weiss, Sholom M. is the author of 'Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems' with ISBN 9781558600652 and ISBN 1558600655.
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Book condition guidelines
New (perfect condition)
Pages are clean and are not marked by notes, highlighting or fold.
Like new (excellent condition)
Pages are clean and are not marked by notes, highlighting or folds.
Very good (good condition)
Pages are intact and may have minimal notes and/or highlighting or folds.
Good (clean condition)
All pages and the cover is intact. The spine may show signs of wear. Pages include notes and/or highlighting.
Acceptable (readable condition)
All pages and the cover is intact. Pages include considerable notes in pen or highlighter, but the text is not obscured.
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