大葉大學圖書館 |

登入

回首頁

Marketing data science :modeling tec...

Miller, Thomas W.

Marketing data science :modeling techniques in predictive analytics with R and Python /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.8
書名/作者:	Marketing data science : : modeling techniques in predictive analytics with R and Python // Thomas W. Miller.
其他題名:	Modeling techniques in predictive analytics with R and Python
作者:	Miller, Thomas W.
出版者:	Old Tappan, N.J. : : Pearson Education,, c2015.
面頁冊數:	xviii, 458 p. : : ill. ;; 24 cm.
標題:	Marketing - Data processing.
標題:	R (Computer program language)
標題:	Python (Computer program language)
標題:	Data mining.
ISBN:	9780133886559 (hbk.) :
書目註:	Includes bibliographical references (p. 415-452) and index.

Marketing data science :modeling techniques in predictive analytics with R and Python /
Miller, Thomas W.

Marketing data science :modeling techniques in predictive analytics with R and Python /Modeling techniques in predictive analytics with R and PythonThomas W. Miller. - Old Tappan, N.J. :Pearson Education,c2015. - xviii, 458 p. :ill. ;24 cm.

Includes bibliographical references (p. 415-452) and index.

ISBN: 9780133886559 (hbk.) :NTD 2,440

LCCN: 2015937911Subjects--Topical Terms:

650429
Marketing
--Data processing.

LC Class. No.: HF5415 / .M5352 2015

Dewey Class. No.: 658.8

Marketing data science :modeling techniques in predictive analytics with R and Python /
LDR:00735cam a2200181 a 4500 001 486710
005 20151119185715.0
008 200515s2015 njua b 001 0 eng d
010 $a 2015937911
020 $a 9780133886559 (hbk.) : $c NTD 2,440
040 $a BTCTA $b eng $c BTCTA $d BDX $d YDXCP $d OCLCO $d CUI $d OCLCO $d OCLCF $d NLGGC $d OCLCO $d DLC $d DYU
041 0 $a eng
050 0 0 $a HF5415 $b .M5352 2015
082 0 4 $a 658.8 $2 23
100 1 $a Miller, Thomas W. $3 683209
245 1 0 $a Marketing data science : $b modeling techniques in predictive analytics with R and Python / $c Thomas W. Miller.
246 3 $a Modeling techniques in predictive analytics with R and Python
260 $a Old Tappan, N.J. : $b Pearson Education, $c c2015.
300 $a xviii, 458 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references (p. 415-452) and index.
650 0 $a Marketing $x Data processing. $3 650429
650 0 $a R (Computer program language) $3 465792
650 0 $a Python (Computer program language) $3 339754
650 0 $a Data mining. $3 337740