國立虎尾科技大學 |

Optimization for data analysis /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization for data analysis // Stephen J. Wright, Benjamin Recht.
作者:	Wright, Stephen J.,
其他作者:	Recht, Benjamin,
面頁冊數:	1 online resource (x, 227 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 01 Apr 2022).
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1017/9781009004282
ISBN:	9781009004282 (ebook)

Optimization for data analysis /
Wright, Stephen J.,1960-

Optimization for data analysis /Stephen J. Wright, Benjamin Recht. - 1 online resource (x, 227 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 01 Apr 2022).

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.

ISBN: 9781009004282 (ebook)Subjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: QA76.9.B45 / W75 2022

Dewey Class. No.: 005.7

Optimization for data analysis /
LDR:02085nam a2200277 i 4500 001 1126379
003 UkCbUP
005 20220402092141.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2022||||enk o ||1 0|eng|d
020 $a 9781009004282 (ebook)
020 $z 9781316518984 (hardback)
035 $a CR9781009004282
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a QA76.9.B45 $b W75 2022
082 0 0 $a 005.7 $2 23
100 1 $a Wright, Stephen J., $d 1960- $3 873443
245 1 0 $a Optimization for data analysis / $c Stephen J. Wright, Benjamin Recht.
264 1 $a Cambridge : $b Cambridge University Press, $c 2022.
300 $a 1 online resource (x, 227 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 01 Apr 2022).
520 $a Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Quantitative research. $3 635913
650 0 $a Mathematical optimization. $3 527675
650 0 $a Big data. $3 981821
700 1 $a Recht, Benjamin, $e author. $3 1445162
776 0 8 $i Print version: $z 9781316518984
856 4 0 $u https://doi.org/10.1017/9781009004282