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Inference and learning from data : Foundations

By: Sayed, Ali H.
Series: Vol. 1.Publisher: Cambridge : Cambridge University Press, 2023Description: li, 1052 p. ; ill., 24 cm.ISBN: 9781009218146.Subject(s): Big data | Statistical methods | Mathematical models | Inference | PrimalDual Methods | Vector Differentiation | Gaussian Distribution | Convex Functions | Lipschitz Conditions | Uniform Sampling | Random ReshufflingDDC classification: 519.54 Summary: Summary:This extraordinary three-volume work provides an accessible, comprehensive introduction to mathematical and statistical techniques for data-driven learning and inference. Ideal for early-career researchers and graduate students across signal processing, machine learning, statistics and data science.
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Includes bibliographical references and index.

Summary:This extraordinary three-volume work provides an accessible, comprehensive introduction to mathematical and statistical techniques for data-driven learning and inference. Ideal for early-career researchers and graduate students across signal processing, machine learning, statistics and data science.

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