Description: Optimization for Data Analysis, Hardcover by Wright, Stephen J.; Recht, Benjamin, ISBN 1316518981, ISBN-13 9781316518984, Brand New, Free shipping in the US "Optimization formulations and algorithms have long played a central role in data analysis and machine learning. Maximum likelihood concepts date to Gauss and Laplace in the late 1700s ; problems of this type drove developments in unconstrained optimization in the latter half of the 20th century. Mangasarian's papers in the 1960s on pattern separation using linear programming made an explicit connection between machine learning and optimization in the early days of the former subject. During the 1990s, optimization techniques (especially quadratic programming and duality) were key to the development of support vector machines and kernel learning. The period 1 saw many synergies emerge between regularized / sparse optimization, variable selection,and compressed sensing. In the current era of deep learning, two optimization techniques-stochastic gradient and automatic differentiation (. back-propagation)-are essential"--
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Book Title: Optimization for Data Analysis
Number of Pages: 300 Pages
Publication Name: Optimization for Data Analysis
Language: English
Publisher: Cambridge University Press
Publication Year: 2022
Item Height: 0.6 in
Subject: General
Features: New Edition
Type: Textbook
Author: Benjamin Recht, Stephen J. Wright
Subject Area: Mathematics
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
