Inference and learning from data : Foundations
- Cambridge : Cambridge University Press, 2023
- li, 1052 p. ; ill., 24 cm.
- Vol. 1 .
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.
9781009218146 hbk.
Big data Statistical methods Mathematical models Inference PrimalDual Methods Vector Differentiation Gaussian Distribution Convex Functions Lipschitz Conditions Uniform Sampling Random Reshuffling