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Inference and Learning from Data

Inference and Learning from Data

Inference and Learning from Data Hardback - 2022

by Ali H. Sayed

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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, thi
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Details

  • Title Inference and Learning from Data
  • Author Ali H. Sayed
  • Binding Hardback
  • Condition New
  • Pages 1010
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2022-12-22
  • Bookseller's Inventory # ria9781009218122_inp
  • ISBN 9781009218122 / 1009218123
  • Weight 3.95 lbs (1.79 kg)
  • Dimensions 9.37 x 6.61 x 1.1 in (23.80 x 16.79 x 2.79 cm)
  • Category Technology & Industrial Arts
  • Quantity available 177

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Reader reviews for Inference and Learning from Data

From the publisher

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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