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Book Cover
E-book
Author Little, Max A., author

Title Machine learning for signal processing : data science, algorithms, and computational statistics / Max A. Little
Edition First edition
Published Oxford ; New York, NY : Oxford University Press, 2019
©2019

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Description 1 online resource (xviii, 359 pages)
Contents Mathematical foundations -- Optimization -- Random sampling -- Statistical modelling and inference -- Probabilistic graphical models -- Statistical machine learning -- Linear-Gaussian systems and signal processing -- Discrete signals : sampling, quantization and coding -- Nonlinear and non-Gaussian signal processing -- Nonparametric Bayesian machine learning and signal processing
Summary Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications
Bibliography Includes bibliographical references and index
Notes Online resource; title from digital title page (viewed on November 07, 2019)
Some URIs added to this record for the PCC URI MARC pilot. Please do not remove these subfields
Subject Machine learning -- Mathematics
Signal processing -- Mathematics
Signal processing -- Digital techniques.
Machine learning.
Signal processing -- Digital techniques.
Form Electronic book
ISBN 9780191024313
0191024317
9780191879180
0191879185