Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 11,64
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: Very Good. 0th Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 11,73
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
EUR 9,23
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good. 0th Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Librería: George Cross Books, Lexington, MA, Estados Unidos de America
Miembro de asociación: IOBA
EUR 15,71
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Reprint edition. Very Good/Wraps (17535) A very good trade paperback with lightly rubbed wraps. Clean, tight, unmarked. .
Librería: Ammareal, Morangis, Francia
EUR 8,54
Cantidad disponible: 1 disponibles
Añadir al carritoSoftcover. Condición: Bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Livre reconditionné de bibliothèque. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Different cover. Refurbished library book. Ammareal gives back up to 15% of this item's net price to charity organizations.
Publicado por MIT Press, 1990
Librería: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Alemania
EUR 5,40
Cantidad disponible: 1 disponibles
Añadir al carritoSoftcover. 394 p. Good condition. The reading pages are clean and unmarked. Slight signs of storage and use. Retired library copy with corresponding markings. Spine with reading creases. Otherwise a good copy. Sprache: Englisch Gewicht in Gramm: 1000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 49,93
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 52,25
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Machine Learning: Paradigms and Methods. Book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 53,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 60,99
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 61,70
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 72,00
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 400 pages. 9.00x6.25x1.00 inches. In Stock.
Librería: preigu, Osnabrück, Alemania
EUR 48,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Machine Learning | Paradigms and Methods | Jaime Carbonell | Taschenbuch | Kartoniert / Broschiert | Englisch | 1990 | MIT Press | EAN 9780262530880 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 57,40
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Having played a central role at the inception of artificial intelligence research, machine learning has recently reemerged as a major area of study at the very core of the subject. Solid theoretical foundations are being constructed. Machine learning methods are being integrated with powerful performance systems, and practical applications; based on established techniques are emerging.Machine Learning unifies the field by bringing together and clearly explaining the major successful paradigms for machine learning: inductive approaches, explanation-based learning, genetic algorithms, and connectionist learning methods. Each paradigm is presented in depth, providing historical perspective but focusing on current research and potential applications.