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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems - Hardcover
Inhaltsangabe
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. "I enjoy reading PREDICTIVE DATA MINING. It presents an excellent perspective on the theory and practice of data mining. It can help educate statisticians to build alliances between statisticians and data miners." Emanuel Parzen Distinguished Professor of Statistics, Texas A&M University
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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. "I enjoy reading PREDICTIVE DATA MINING. It presents an excellent perspective on the theory and practice of data mining. It can help educate statisticians to build alliances between statisticians and data miners." Emanuel Parzen Distinguished Professor of Statistics, Texas A&M University
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- VerlagMorgan Kaufmann Publishers In
- Erscheinungsdatum1990
- ISBN 10 1558600655
- ISBN 13 9781558600652
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten223
- Kontakt zum HerstellerNicht verfügbar
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
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Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.2. Bestandsnummer des Verkäufers G1558600655I2N00
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems
Verlag:
Morgan Kaufmann Publishers In, 1990
ISBN 10: 1558600655
ISBN 13: 9781558600652
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Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Traces d'humidité sur les pages. Couverture différente. Edition 1990. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Traces of humidity on the pages. Different cover. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations. Bestandsnummer des Verkäufers E-598-291
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems
Verlag:
Morgan Kaufmann Publishers In, 1990
ISBN 10: 1558600655
ISBN 13: 9781558600652
Gebraucht
Hardcover
Anbieter: Ammareal, Morangis, Frankreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1990. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations. Bestandsnummer des Verkäufers E-594-414
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems (Machine Learning Series)
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Sys
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems (Machine Learning Series)
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
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