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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
Reseña del editor: 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
Titel: Computer Systems That Learn: Classification ...
Verlag: Morgan Kaufmann
Erscheinungsdatum: 1990
Einband: Hardcover
Zustand: Very Good
Zustand des Schutzumschlags: No Jacket
Anbieter: Robinson Street Books, IOBA, Binghamton, NY, USA
Hardcover w/ D. Zustand: Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDComputing: General: GOOD HARDCOVER WITH DUST JACKET, CLEAN PAGES, PROMPT SHIPPING WITH TRACKING. Artikel-Nr. lower32KG044
Anzahl: 1 verfügbar
Anbieter: Ammareal, Morangis, Frankreich
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. Artikel-Nr. E-598-291
Anzahl: 1 verfügbar
Anbieter: Ammareal, Morangis, Frankreich
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. Artikel-Nr. E-594-414
Anzahl: 1 verfügbar