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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.
Über die Autorin bzw. den Autor: 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.
Titel: Inference and Learning from Data: Volume 1: ...
Verlag: Cambridge University Press
Erscheinungsdatum: 2023
Einband: Hardcover
Zustand: New
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: 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. Artikel-Nr. 1009218123-8-1
Anzahl: 1 verfügbar
Anbieter: AMM Books, Gillingham, KENT, Vereinigtes Königreich
hardcover. Zustand: Very Good. In stock ready to dispatch from the UK. Artikel-Nr. mon0000299289
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Anbieter: Speedyhen, London, Vereinigtes Königreich
Zustand: NEW. Artikel-Nr. NW9781009218122
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Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Artikel-Nr. 591551051
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A contemporary textbook and manual for students and aspiring environmental professionals that provides theory and practical skills and concepts needed for today's environmental manager. This foundational textbook provides the scaffolds to allow students to create partnerships to solve environmental problems with successful implementation techniques. Artikel-Nr. 9781009218122
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Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Inference and Learning from Data | Ali H. Sayed | Buch | Gebunden | Englisch | 2022 | Cambridge University Press | EAN 9781009218122 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 121612532
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Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Paperback. Zustand: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR012902712
Anzahl: 2 verfügbar
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9781009218122
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 1010 pages. 9.50x7.00x1.75 inches. In Stock. Artikel-Nr. x-1009218123
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