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…
This is the first volume of a three volume textbook. We encourage instructors to refer to the Course Guide in the Resources area for more information on how the volumes can be combined or used individually to support different courses.
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Inference, Volume 2
Online publication date: 17 March 2023
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Learning, Volume 3
Online publication date: 24 February 2023
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Online publication date: 17 March 2023
Hardback publication date: 02 March 2023
Online publication date: 05 June 2012