Lingua: Inglese
Editore: Cambridge University Press (edition New), 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: New. New. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 105,85
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Lingua: Inglese
Editore: Cambridge University Press 2022-12-22, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
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Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. 2022. New. Hardcover. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference. Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to learning methods. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. New edition niversity Press NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 151,97
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Aggiungi al carrelloHardback. Condizione: New. This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: moluna, Greven, Germania
EUR 110,34
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 116,03
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to learning methods. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning and engineering.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: preigu, Osnabrück, Germania
EUR 122,55
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Aggiungi al carrelloBuch. Condizione: Neu. Inference and Learning from Data: Volume 3 | Learning | Ali H. Sayed | Buch | Gebunden | Englisch | 2022 | Cambridge University Press | EAN 9781009218283 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Revaluation Books, Exeter, Regno Unito
EUR 187,90
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 990 pages. 9.80x7.20x1.69 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Rarewaves.com UK, London, Regno Unito
EUR 143,45
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Revaluation Books, Exeter, Regno Unito
EUR 111,94
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 990 pages. 9.80x7.20x1.69 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Majestic Books, Hounslow, Regno Unito
EUR 144,44
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 143,62
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.