Normal view MARC view ISBD view

Machine learning for signal processing : data science, algorithms, and computational statistics

By: Little, Max A.
Publisher: Oxford : Oxford University Press, 2019Description: xviii, 359 p. ; ill. 26 cm.ISBN: 9780198714934.Subject(s): Machine learning | Signal processing | Digital techniques | Mathematics | Statistical methods | Armijo bound | Backtracking | Bayesian | Clustering | Distribution | Estimator | Fourier transform | Gaussian process | Impulse response | Kernel regression | Optimization | Quantization | Stochastic process | ViterbDDC classification: 621.3822 Summary: This title 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. It builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode
Books 621.3822 LIT (Browse shelf) Available 033269

Includes bibliographical references and index.

This title 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. It builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha