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Mathematics of data science :a compu...

Calvetti, Daniela,

Mathematics of data science :a computational approach to clustering and classification /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematics of data science :Daniela Calvetti, Erkki Somersalo.
Reminder of title:	a computational approach to clustering and classification /
Author:	Calvetti, Daniela,
other author:	Somersalo, Erkki,
Published:	Philadelphia :Society for Industrial and Applied Mathematics,c2021.
Description:	x, 189 p. :ill. (some col.) ;26 cm.
Subject:	Big dataMathematics.
ISBN:	9781611976366 (pbk.) :

Mathematics of data science :a computational approach to clustering and classification /
Calvetti, Daniela,

Mathematics of data science :a computational approach to clustering and classification /Daniela Calvetti, Erkki Somersalo. - Philadelphia :Society for Industrial and Applied Mathematics,c2021. - x, 189 p. :ill. (some col.) ;26 cm. - Data science ;1. - Data science ;1..

Includes bibliographical references and index.

"This book is on the mathematics of data science, thus the mathematical perspective will shape the presentation of the material, without forgetting the data science driver behind it"--

ISBN: 9781611976366 (pbk.) :NT$1580

LCCN: 2020035085Subjects--Topical Terms:

721851
Big data
--Mathematics.

LC Class. No.: QA76.9.B45 / C167 2021

Dewey Class. No.: 005.7

Mathematics of data science :a computational approach to clustering and classification /
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010 $a 2020035085
020 $a 9781611976366 (pbk.) : $c NT$1580
020 $z 9781611976373 (ebk.)
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040 $a DLC $b eng $c DLC $e aacr2
041 0 $a eng
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050 0 0 $a QA76.9.B45 $b C167 2021
082 0 0 $a 005.7 $2 23
100 1 $a Calvetti, Daniela, $e author. $3 885126
245 1 0 $a Mathematics of data science : $b a computational approach to clustering and classification / $c Daniela Calvetti, Erkki Somersalo.
260 $a Philadelphia : $b Society for Industrial and Applied Mathematics, $c c2021.
300 $a x, 189 p. : $b ill. (some col.) ; $c 26 cm.
490 1 $a Data science ; $v 1
504 $a Includes bibliographical references and index.
520 $a "This book is on the mathematics of data science, thus the mathematical perspective will shape the presentation of the material, without forgetting the data science driver behind it"-- $c Provided by publisher.
650 0 $a Big data $x Mathematics. $3 721851
650 0 $a Information science $x Mathematics. $3 885129
700 1 $a Somersalo, Erkki, $e author. $3 885127
830 0 $a Data science ; $v 1. $3 885128