Lingua: Inglese
Editore: Cambridge University Press (edition New), 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 44,10
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: AMM Books, Gillingham, KENT, Regno Unito
EUR 44,08
Quantità: 2 disponibili
Aggiungi al carrellohardcover. Condizione: Very Good. In stock ready to dispatch from the UK.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Book Grocer, Tullamarine, VIC, Australia
EUR 43,55
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Ali H. Sayed (Ecole Polytechnique Federale de Lausanne), Cambridge University Press. 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. Hardback.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: California Books, Miami, FL, U.S.A.
EUR 110,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press 2022-09-30, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Chiron Media, Wallingford, Regno Unito
EUR 107,00
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 109,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 109,75
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 124,18
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2022. New. Hardcover. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 125,32
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Speedyhen, Hertfordshire, Regno Unito
EUR 94,39
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: NEW.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Russell Books, Victoria, BC, Canada
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: New. New. Special order direct from the distributor.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
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, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: moluna, Greven, Germania
EUR 117,93
Quantità: 1 disponibili
Aggiungi al carrelloGebunden. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 123,95
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Revaluation Books, Exeter, Regno Unito
EUR 176,93
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1010 pages. 9.50x7.00x1.75 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: preigu, Osnabrück, Germania
EUR 130,75
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
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 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: Revaluation Books, Exeter, Regno Unito
EUR 119,14
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1010 pages. 9.50x7.00x1.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: CitiRetail, Stevenage, Regno Unito
EUR 120,88
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. 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 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1009218123 ISBN 13: 9781009218122
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 156,66
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. 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 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.