• Home
  • Advanced Search
  • Directory of Libraries
  • About lib.ir
  • Contact Us
  • History

عنوان
Optimization for data analysis

پدید آورنده
Stephen J. Wright and Benjamin Recht.,Wright, Stephen J., 1960-

موضوع
Big data.,Mathematical optimization.,Quantitative research.,Artificial intelligence.,MATHEMATICS / General,MATHEMATICS / General,Artificial intelligence.

رده

کتابخانه
Central library and document university of Kurdistan

محل استقرار
استان: Kurdistan ـ شهر: Sanandaj

Central library and document university of Kurdistan

تماس با کتابخانه : 9-08733624006و 08733664600

INTERNATIONAL STANDARD BOOK NUMBER

Qualification
(hardback)
Qualification
(epub)
(Number (ISBN
9781316518984
Erroneous ISBN
9781009004282

NATIONAL BIBLIOGRAPHY NUMBER

Number
4845

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Optimization for data analysis
General Material Designation
[electronic resources]
First Statement of Responsibility
Stephen J. Wright and Benjamin Recht.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New York
Name of Publisher, Distributor, etc.
Cambridge University Press
Date of Publication, Distribution, etc.
2022.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
x, 227 pages.
Other Physical Details
Figs.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 216-222) and index.

SUMMARY OR ABSTRACT

Text of Note
"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"--

TOPICAL NAME USED AS SUBJECT

Entry Element
Big data.
Entry Element
Mathematical optimization.
Entry Element
Quantitative research.
Entry Element
Artificial intelligence.
Entry Element
MATHEMATICS / General
Entry Element
MATHEMATICS / General

UNCONTROLLED SUBJECT TERMS

Subject Term
Artificial intelligence.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Entry Element
Wright, Stephen J., 1960-
Relator Code
Author

PERSONAL NAME - SECONDARY RESPONSIBILITY

Entry Element
Recht, Benjamin,
Relator Code
Cllaborator

ORIGINATING SOURCE

Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20220817045422.0
Cataloguing Rules (Descriptive Conventions))
rda

e

BL
280328

a
Y

Proposal/Bug Report

Warning! Enter The Information Carefully
Send Cancel
This website is managed by Dar Al-Hadith Scientific-Cultural Institute and Computer Research Center of Islamic Sciences (also known as Noor)
Libraries are responsible for the validity of information, and the spiritual rights of information are reserved for them
Best Searcher - The 5th Digital Media Festival