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  2. Kunstig intelligens
  3. Machine learning

Inference and Learning from Data: Volume 1

- Foundations
Af: Ali H. Sayed Engelsk Hardback

Inference and Learning from Data: Volume 1

- Foundations
Af: Ali H. Sayed Engelsk Hardback
Tjek vores konkurrenters priser
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.
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Tjek vores konkurrenters priser
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kr 859
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 1010
ISBN-13: 9781009218122
Indbinding: Hardback
Udgave:
ISBN-10: 1009218123
Kategori: Machine learning
Udg. Dato: 22 dec 2022
Længde: 45mm
Bredde: 250mm
Højde: 183mm
Forlag: Cambridge University Press
Oplagsdato: 22 dec 2022
Forfatter(e): Ali H. Sayed
Forfatter(e) Ali H. Sayed

Kategori Machine learning

ISBN-13 9781009218122

Sprog Engelsk

Indbinding Hardback

Sider 1010

Udgave

Længde 45mm

Bredde 250mm

Højde 183mm

Udg. Dato 22 dec 2022

Oplagsdato 22 dec 2022

Forlag Cambridge University Press

Kategori sammenhænge