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Big data analytics = applications in business and marketing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics/ Kiran Chaudhary and Mansaf Alam.
Reminder of title:	applications in business and marketing /
Author:	Chaudhary, Kiran.
other author:	Alam, Mansaf.
Published:	Boca Raton, FL :CRC Press, : 2022.,
Description:	1 online resource (256 p.)
Subject:	Business - Data processing. -
Online resource:	https://www.taylorfrancis.com/books/9781003175711
ISBN:	9781003175711

Big data analytics = applications in business and marketing /
Chaudhary, Kiran.

Big data analyticsapplications in business and marketing /[electronic resource] :Kiran Chaudhary and Mansaf Alam. - 1st ed. - Boca Raton, FL :CRC Press,2022. - 1 online resource (256 p.)

Includes bibliographical references.

"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"--

ISBN: 9781003175711Subjects--Topical Terms:

527441
Business
--Data processing.

LC Class. No.: HF5548.2 / .C474 2022

Dewey Class. No.: 658/.05

Big data analytics = applications in business and marketing /
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020 $a 9781000523577 $q (epub)
020 $z 9781032187662 $q (pbk.)
020 $z 9781032007885 $q (hbk.)
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050 4 $a HF5548.2 $b .C474 2022
082 0 4 $a 658/.05 $2 23
100 1 $a Chaudhary, Kiran. $3 3666546
245 1 0 $a Big data analytics $h [electronic resource] : $b applications in business and marketing / $c Kiran Chaudhary and Mansaf Alam.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2022.
300 $a 1 online resource (256 p.)
504 $a Includes bibliographical references.
520 $a "Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Business $x Data processing. $3 527441
650 0 $a Marketing $x Data processing. $3 582001
650 0 $a Big data. $3 2045508
700 1 $a Alam, Mansaf. $3 3524277
856 4 0 $u https://www.taylorfrancis.com/books/9781003175711