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Synopsis
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. The first volume, Foundations, establishes core topics in inference and learning, and prepares readers for studying their practical application. The second volume, Inference, introduces readers to cutting-edge techniques for inferring unknown variables and quantities. The final volume, Learning, provides a rigorous introduction to state-of-the-art learning methods. A consistent structure and pedagogy is employed throughout all three volumes to reinforce student understanding, with over 1280 end-of-chapter problems (including solutions for instructors), over 600 figures, over 470 solved examples, datasets and downloadable Matlab code. 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.
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À propos de l?auteur
Ali H. Sayed is Professor and Dean of Engineering at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He has also served as Distinguished Professor and Chairman of Electrical Engineering at the University of California, Los Angeles, USA, and as President of the IEEE Signal Processing Society. He is a member of the US National Academy of Engineering (NAE) and The World Academy of Sciences (TWAS), and a recipient of the 2022 IEEE Fourier Award and the 2020 IEEE Norbert Wiener Society Award. He is a Fellow of the IEEE.
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Inference and Learning from Data [Complete Three Volume Set]
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Cambridge University Press, 2023
ISBN 10 : 1009218107
ISBN 13 : 9781009218108
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Hardcover. Etat : Like New. First Edition. A complete three volume set: all volumes firm and square, bright and clean with strong joints and sharp corners. Just showing a few very mild bumps and rubs. Hence a non-text page is stamped 'damaged'. Despite such these books are crisp, fresh and tight with no defects. Thus a nearly new set of books that looks and feels unread now offered for sale at a very reasonable price. N° de réf. du vendeur 202868
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Inference And Learning From Data
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Cambridge University Press, 2023
ISBN 10 : 1009218107
ISBN 13 : 9781009218108
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Inference and Learning from Data
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Inference And Learning From Data
Edité par
Cambridge University Press, 2023
ISBN 10 : 1009218107
ISBN 13 : 9781009218108
Ancien ou d'occasion
Couverture rigide
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Inference And Learning From Data
Edité par
Cambridge University Press, 2023
ISBN 10 : 1009218107
ISBN 13 : 9781009218108
Neuf
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Inference and Learning from Data
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Taschenbuch. Etat : Neu. Neuware - This extraordinary three-volume work provides an accessible, comprehensive introduction to mathematical and statistical techniques for data-driven learning and inference. Ideal for early-career researchers and graduate students across signal processing, machine learning, statistics and data science. N° de réf. du vendeur 9781009218108
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Inference and Learning from Data
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Book & Merchandise. Etat : new. Book & Merchandise. 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. The first volume, Foundations, establishes core topics in inference and learning, and prepares readers for studying their practical application. The second volume, Inference, introduces readers to cutting-edge techniques for inferring unknown variables and quantities. The final volume, Learning, provides a rigorous introduction to state-of-the-art learning methods. A consistent structure and pedagogy is employed throughout all three volumes to reinforce student understanding, with over 1280 end-of-chapter problems (including solutions for instructors), over 600 figures, over 470 solved examples, datasets and downloadable Matlab code. 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. This extraordinary three-volume work provides an accessible, comprehensive introduction to mathematical and statistical techniques for data-driven learning and inference. Ideal for early-career researchers and graduate students across signal processing, machine learning, statistics and data science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781009218108
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Inference And Learning From Data
Edité par
Cambridge University Press, 2023
ISBN 10 : 1009218107
ISBN 13 : 9781009218108
Neuf
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Inference and Learning from Data (3 Hardback books)
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3 Hardback books. Etat : Brand New. 1st edition. 3370 pages. 11.26x8.35x6.38 inches. In Stock. N° de réf. du vendeur __1009218107
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