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Inference and Learning from Data: Volume 3: Learning
Published by Cambridge University Press (edition New), 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
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Inference and Learning from Data: Volume 2: Inference
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
Seller: Friends of the Multnomah County Library, Portland, OR, U.S.A.
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Hardcover. Condition: Good. Clean pages. Some spine separation. Boards unmarked.
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Inference and Learning from Data: Volume 2 Inference
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference And Learning From Data: Volume 2 New ed
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference And Learning From Data: Volume 3 New ed
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
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Inference and Learning from Data: Volume 3: Learning
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
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Inference and Learning from Data: Volume 2: Inference
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference and Learning from Data: Volume 1: Foundations
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
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Inference and Learning from Data: Volume 2
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference and Learning from Data: Volume 3
Published by Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
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Inference and Learning from Data: Volume 2
Published by Cambridge University Press, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference And Learning From Data: Volume 1 New ed
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
Condition: As New. Unread book in perfect condition.
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Inference and Learning from Data: Volume 1: Foundations
Published by Cambridge University Press (edition New), 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
Hardcover. Condition: As New. New. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Inference and Learning from Data: Volume 2
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference And Learning From Data: Volume 2 New ed
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference And Learning From Data: Volume 3 New ed
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
Condition: As New. Unread book in perfect condition.
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Inference and Learning from Data: Volume 1
Published by Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
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Inference And Learning From Data: Volume 2 New ed
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference And Learning From Data: Volume 3 New ed
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Inference And Learning From Data: Volume 1 New ed
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
Condition: New.
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Inference and Learning from Data: Volume 1
Published by Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Inference and Learning from Data: Volume 2
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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Inference and Learning from Data: Volume 2: Inference
Published by Cambridge University Press, 2023
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Inference and Learning from Data: Volume 3: Learning
Published by Cambridge University Press, 2023
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 118.19
Convert currencyUS$ 16.15 shipping from United Kingdom to U.S.A.Quantity: 2 available
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Inference And Learning From Data: Volume 1 New ed
Published by Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 116.50
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Inference and Learning from Data: Volume 3: Learning
Published by Cambridge University Press, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
US$ 124.08
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Add to basketHardcover. Condition: Brand New. 990 pages. 9.80x7.20x1.69 inches. In Stock.
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Inference and Learning from Data: Volume 1 (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Language: English
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 first volume, Foundations, introduces core topics in inference and learning, such as matrix theory, linear algebra, random variables, convex optimization and stochastic optimization, and prepares students for studying their practical application in later volumes. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 600 end-of-chapter problems (including solutions for instructors), 100 figures, 180 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Inference 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 core topics in inference and learning. 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.
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Inference and Learning from Data: Volume 3 (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 100921828X ISBN 13: 9781009218283
Language: English
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.
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Inference and Learning from Data: Inference: Volume 2
Published by Cambridge University Press, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
US$ 124.61
Convert currencyUS$ 13.48 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 1070 pages. 9.88x7.24x1.77 inches. In Stock.
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Inference and Learning from Data: Volume 2 (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009218263 ISBN 13: 9781009218269
Language: English
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.
