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Probability and computing /

Mitzenmacher, Michael, (1969-)

Probability and computing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probability and computing // Michael Mitzenmacher Eli Upfal.
作者:	Mitzenmacher, Michael,
其他作者:	Upfal, Eli,
出版者:	Cambridge, United Kingdom ;Cambridge University Press, : c2017.,
面頁冊數:	xx, 467 p. :ill. ; : 27 cm.;
標題:	Stochastic analysis. -
電子資源:	https://www.loc.gov/catdir/enhancements/fy1618/2016041654-t.html
電子資源:	https://www.loc.gov/catdir/enhancements/fy1618/2016041654-b.html
電子資源:	https://www.loc.gov/catdir/enhancements/fy1618/2016041654-d.html
ISBN:	9781107154889 (cloth) :

Probability and computing /
Mitzenmacher, Michael,1969-

Probability and computing /Michael Mitzenmacher Eli Upfal. - 2nd ed. - Cambridge, United Kingdom ;Cambridge University Press,c2017. - xx, 467 p. :ill. ;27 cm.

Includes bibliographical references and index.

"Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics"--

ISBN: 9781107154889 (cloth) :NT2103

LCCN: 2016041654Subjects--Topical Terms:

560202
Stochastic analysis.

LC Class. No.: QA274 / .M574 2017

Dewey Class. No.: 518/.1

Probability and computing /
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245 1 0 $a Probability and computing / $c Michael Mitzenmacher Eli Upfal.
250 $a 2nd ed.
260 $a Cambridge, United Kingdom ; $a New York, NY, USA : $b Cambridge University Press, $c c2017.
300 $a xx, 467 p. : $b ill. ; $c 27 cm.
504 $a Includes bibliographical references and index.
520 $a "Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics"-- $c Provided by publisher.
650 0 $a Stochastic analysis. $3 560202
650 0 $a Probabilities. $3 527847
650 0 $a Algorithms. $3 527865
700 1 $a Upfal, Eli, $d 1954- $3 1129800
856 4 1 $3 Table of contents only $u https://www.loc.gov/catdir/enhancements/fy1618/2016041654-t.html
856 4 2 $3 Contributor biographical information $u https://www.loc.gov/catdir/enhancements/fy1618/2016041654-b.html
856 4 2 $3 Publisher description $u https://www.loc.gov/catdir/enhancements/fy1618/2016041654-d.html