The Locator -- [(author = "Wright Stephen")]

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02329aam a2200361 i 4500
001 9500CC5872D911EDA0B05B7C49ECA4DB
003 SILO
005 20221203010154
008 210615t20222022enka     b    001 0 eng  
010    $a 2021028671
020    $a 1316518981
020    $a 9781316518984
035    $a (OCoLC)1240306218
040    $a DLC $b eng $e rda $c DLC $d YDX $d OCLCO $d OCLCF $d UKMGB $d OCLCO $d YDX $d SILO
042    $a pcc
050 00 $a QA76.9 B45 W75 2022
084    $a MAT000000 $2 bisacsh
100 1  $a Wright, Stephen J., $d 1960- $e author.
245 10 $a Optimization for data analysis / $c Stephen J. Wright and Benjamin Recht.
264  1 $a Cambridge, United Kingdom ; $b Cambridge University Press, $c 2022.
300    $a x, 227 pages : $b illustrations ; $c 24 cm
504    $a Includes bibliographical references and index.
520    $a "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 1997-2010 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 (a.k.a. back-propagation)-are essential"-- $c Provided by publisher.
650  0 $a Big data.
650  0 $a Mathematical optimization.
650  0 $a Quantitative research.
650  0 $a Artificial intelligence.
700 1  $a Recht, Benjamin, $e author.
776 08 $i Online version: $a Wright, Stephen J. $t Optimization for data analysis $d New York : Cambridge University Press, [2021] $z 9781009004282 $w (DLC)  2021028672
941    $a 1
952    $l USUX851 $d 20240717024814.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=9500CC5872D911EDA0B05B7C49ECA4DB
994    $a C0 $b IWA

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