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Big data analytics :applications in business and marketing /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Big data analytics :/ Kiran Chaudhary and Mansaf Alam.
其他題名:	applications in business and marketing /
作者:	Chaudhary, Kiran.
其他作者:	Alam, Mansaf.
出版者:	Boca Raton, FL :CRC Press,c2022.
面頁冊數:	xiii, 261 p. :ill. ;23 cm.
標題:	Business - Data processing. -
ISBN:	9781032187662$q(pbk.) :
ISBN:	9781032007885$q(hbk.)

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

Big data analytics :applications in business and marketing /Kiran Chaudhary and Mansaf Alam. - 1st ed. - Boca Raton, FL :CRC Press,c2022. - xiii, 261 p. :ill. ;23 cm.

Includes bibliographical references and index.

"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: 9781032187662$q(pbk.) :NT1100

LCCN: 2021046062Subjects--Topical Terms:

147026
Business
--Data processing.

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

Dewey Class. No.: 658/.05

Big data analytics :applications in business and marketing /
LDR:01168cam a2200205 a 4500 001 1000126517
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010 $a 2021046062
020 $a 9781032187662$q(pbk.) : $c NT1100
020 $a 9781032007885$q(hbk.)
020 $z 9781003175711$q(ebk.)
040 $a DLC $b eng $e aacr2 $c DLC
042 $a pcc
050 0 0 $a HF5548.2 $b .C474 2022
082 0 0 $a 658/.05 $2 23
100 1 $a Chaudhary, Kiran. $3 1000147758
245 1 0 $a Big data analytics : $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 c2022.
300 $a xiii, 261 p. : $b ill. ; $c 23 cm.
504 $a Includes bibliographical references and index.
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.
650 # 0 $a Business $x Data processing. $3 147026
650 # 0 $a Marketing $x Data processing. $3 147025
650 # 0 $a Big data. $3 1000002445
700 1 # $a Alam, Mansaf. $3 1000147759

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