Librería:
Ammareal, Morangis, Francia
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 29 de agosto de 2016
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. N° de ref. del artículo E-598-291
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
Título: Computer Systems That Learn: Classification ...
Editorial: Morgan Kaufmann Publishers In
Año de publicación: 1990
Encuadernación: Hardcover
Condición: Bon
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Condición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00087258596
Cantidad disponible: 1 disponibles
Librería: -OnTimeBooks-, Phoenix, AZ, Estados Unidos de America
Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships via media mail. Nº de ref. del artículo: OTV.1558600655.G
Cantidad disponible: 1 disponibles
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_395544372
Cantidad disponible: 1 disponibles
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G1558600655I5N00
Cantidad disponible: 1 disponibles
Librería: Anybook.com, Lincoln, Reino Unido
Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:1558600655. Nº de ref. del artículo: 5783200
Cantidad disponible: 1 disponibles
Librería: Robinson Street Books, IOBA, Binghamton, NY, Estados Unidos de America
Hardcover w/ D. Condición: Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDComputing: General: GOOD HARDCOVER WITH DUST JACKET, CLEAN PAGES, PROMPT SHIPPING WITH TRACKING. Nº de ref. del artículo: lower32KG044
Cantidad disponible: 1 disponibles
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
Hardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Nº de ref. del artículo: Scanned1558600655
Cantidad disponible: 1 disponibles
Librería: YESIBOOKSTORE, MIAMI, FL, Estados Unidos de America
hardcover. Condición: As New. Nº de ref. del artículo: 1558600655-VB
Cantidad disponible: 1 disponibles
Librería: Dangerbooks, Los Angeles, CA, Estados Unidos de America
Very rare in this condition. Nº de ref. del artículo: ABE-1765060583761
Cantidad disponible: 1 disponibles
Librería: Arroyo Seco Books, Pasadena, Member IOBA, Pasadena, CA, Estados Unidos de America
Hardcover. Condición: Fine. Estado de la sobrecubierta: Fine. 1st Edition. Xii, 223 Pp. Red Boards. First ;Printing Indicated. Fine In Fine Dj With Crease The Length Of The Front Flap. Nº de ref. del artículo: 059909
Cantidad disponible: 1 disponibles