Language: English
Published by Cambridge University Press (edition New), 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. New. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Language: English
Published by Cambridge University Press (edition New), 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: 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.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: Friends of the Multnomah County Library, Portland, OR, U.S.A.
Hardcover. Condition: Good. Clean pages. Some spine separation. Boards unmarked.
Language: English
Published by Cambridge University Press (edition New), 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: 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.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: AMM Books, Gillingham, KENT, United Kingdom
hardcover. Condition: Very Good. In stock ready to dispatch from the UK.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Language: English
Published by Cambridge University Press 2022-12-22, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Language: English
Published by Cambridge University Press 2022-12-22, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2022. New. Hardcover. . . . . .
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: Russell Books, Victoria, BC, Canada
hardcover. Condition: New. Special order direct from the distributor.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 98.94
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press 2022-09-30, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2022. New. Hardcover. . . . . .
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2022. New. Hardcover. . . . . .
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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.
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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 second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and reinforcement learning. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including solutions for instructors), 180 solved examples, almost 200 figures, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Learning, 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, statistical analysis, data science and inference. Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to techniques for inferring unknown variables and quantities. 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.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, GB, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: 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.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Seller: moluna, Greven, Germany
Condition: New.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Seller: moluna, Greven, Germany
Condition: New.