Editore: Pocket Books, New York, 1994
Da: WF Sandercombe, Burlington, ON, Canada
Prima edizione
EUR 8,89
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Aggiungi al carrelloSoft cover. Condizione: Very Good. 1st Edition. (xxxiii) 280 pp. Light edge and corner wear with a faint crease on the spine; no interior markings. Cover art by Gerber Studio. This anthology contains: Of Sex andHorror by Forrest J. Ackerman; Introduction; Things of Which We Do Not Speak by Lucy Taylor; Mr. Torso by Edward Lee; Give It to Me, Baby by Sidney Williams; Immaterial Girl by Michael Garrett; A Moment of Ecstasy by Graham Watkins; Reincarnal by Max Allan Collins; Yet Another Poisoned Apple for the Fairy Princess by A. R. Morlan; Sex Starved by Edo van Belkom; TheRose by Jack Ketchum; Release of Flesh by Steve Rasnic Tem; The Numbers Game by Bentley Little; Heretical Visions by Claudia O'Keefe; and Suffer Kate by Graham Masterton; followed by The Contributors. Book.
Editore: George Newnes Ltd,, 1945
Da: Shore Books, London, Regno Unito
Rivista / Giornale
EUR 11,93
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Aggiungi al carrelloSoft cover. Condizione: Very Good. 72 pages. Leslie Bussey "Funny, Isn't It?" / Mabel Stonier "Tess Of The Timber Corps" / Jego "Rattlin's Haircut" / Graham White "Clever Stuff" / Trevor Allen "How To Keep A Cook" / Max Dunstone "A Mug's Game" / George Maracco "Little Mother" (SL#48).
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Da: INDOO, Avenel, NJ, U.S.A.
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EUR 46,27
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Da: Majestic Books, Hounslow, Regno Unito
EUR 51,33
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Da: Books Puddle, New York, NY, U.S.A.
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Lingua: Inglese
Editore: Oxford University Press, Oxford, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.Digital signal processing (DSP) isone of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relativenewcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference.DSPand statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of keytopics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts andalgorithms in this important topic. Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 384 pages. 9.65x7.48x0.79 inches. In Stock.
Da: Chiron Media, Wallingford, Regno Unito
EUR 45,88
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 46,99
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hardcover. Condizione: 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!
Lingua: Inglese
Editore: Oxford University Press, USA, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 55,33
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,45
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 53,63
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Oxford University Press, USA, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Da: Kennys Bookstore, Olney, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 78,92
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Da: Revaluation Books, Exeter, Regno Unito
EUR 76,24
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Aggiungi al carrelloPaperback. Condizione: Brand New. 384 pages. 9.65x7.48x0.79 inches. In Stock.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 74,25
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Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 87,82
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Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Da: CitiRetail, Stevenage, Regno Unito
EUR 52,48
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.Digital signal processing (DSP) isone of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relativenewcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference.DSPand statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of keytopics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts andalgorithms in this important topic. Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Condizione: NEW.