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£61.98

Cambridge University Press Random Matrix Methods for Machine Learning

Name: Random Matrix Methods for Machine Learning
Brand: Cambridge University Press
Price: 61.98 GBP
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Description

This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements, of the core mechanisms at play in real-world machine learning algorithms. The book opens with a thorough introduction to the theoretical basics of random matrices, which serves as a support to a wide scope of applications ranging from SVMs, through semi-supervised learning, unsupervised spectral clustering, and graph methods, to neural networks and deep learning. For each application, the authors discuss small- versus large-dimensional intuitions of the problem, followed by a systematic random matrix analysis of the resulting performance and possible improvements. All concepts, applications, and variations are illustrated numerically on synthetic as well as real-world data, with MATLAB and Python code provided on the accompanying website.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1009123238
Category: Books > Subjects > Computing & Internet > Databases
Domain: Amazon UK
Release Date: 21 July 2022
Listed Since: 16 April 2022

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Cambridge University Press Random Matrix Methods for Machine Learning

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