EUR 40,05
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 334 | Sprache: Englisch | Produktart: Bücher.
EUR 40,05
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 334 | Sprache: Englisch | Produktart: Bücher.
Editore: Kluwer Academic Pub, Norwell, Massachusetts, U.S.A., 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Lingua: Inglese
Da: Doss-Haus Books, Redondo Beach, CA, U.S.A.
EUR 10,21
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Aggiungi al carrelloHardcover. Condizione: Good+. Hardcover 1993 edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Covers show minor wear to corners and edges. Text in good plus condition. {334 pages}.
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Lingua: Inglese
Da: Basi6 International, Irving, TX, U.S.A.
EUR 72,47
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Lingua: Inglese
Da: BennettBooksLtd, North Las Vegas, NV, U.S.A.
EUR 80,87
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Aggiungi al carrelloHardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 170,07
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Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 170,07
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Aggiungi al carrelloCondizione: New. In.
EUR 168,73
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.
EUR 178,14
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Aggiungi al carrelloGebunden. Condizione: New. One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current co.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 162,02
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 162,44
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 238,76
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 345 pages. 9.26x6.11x0.80 inches. In Stock.
Da: dsmbooks, Liverpool, Regno Unito
EUR 228,01
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
EUR 247,94
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.