Vendeur : Wonder Book, Frederick, MD, Etats-Unis
EUR 5,52
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Ajouter au panierEtat : Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
EUR 5,76
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Ajouter au panierEtat : 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.
EUR 5,76
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Ajouter au panierEtat : Good. 0th Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
EUR 6,75
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
EUR 6,75
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Ajouter au panierPaperback. Etat : Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
EUR 7,93
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Ajouter au panierEtat : 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.
Vendeur : George Cross Books, Lexington, MA, Etats-Unis
Membre d'association : IOBA
EUR 15,61
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Ajouter au panierPaperback. Reprint edition. Very Good/Wraps (17535) A very good trade paperback with lightly rubbed wraps. Clean, tight, unmarked. .
Edité par MIT Press, 1990
Vendeur : Roland Antiquariat UG haftungsbeschränkt, Weinheim, Allemagne
EUR 5,40
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Ajouter au panierSoftcover. 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.
Vendeur : Ammareal, Morangis, France
EUR 21,99
Quantité disponible : 1 disponible(s)
Ajouter au panierSoftcover. Etat : 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.
EUR 48,36
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 47,20
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Ajouter au panierEtat : New.
EUR 53,40
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 60,56
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 71,71
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Ajouter au panierPaperback. Etat : Brand New. 400 pages. 9.00x6.25x1.00 inches. In Stock.
EUR 69,84
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Ajouter au panierEtat : New.
Vendeur : preigu, Osnabrück, Allemagne
EUR 48,10
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Machine Learning | Paradigms and Methods | Jaime Carbonell | Taschenbuch | 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.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 57,40
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.