Applied analytics through case studies using SAS & R: implementing predictive models and machine learning techniques
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York
APRESS
2018
|
Schriftenreihe: | For professionals by professionals
|
Schlagworte: | |
Online-Zugang: | Inhaltstext http://www.springer.com/ |
Beschreibung: | Auf der Coverrückseite: Shelve in: Databases / general, User level: Intermediate - advanced |
Beschreibung: | XX, 404 Seiten Diagramme 25.4 cm x 17.8 cm |
ISBN: | 9781484235249 148423524X |
Internformat
MARC
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245 | 1 | 0 | |a Applied analytics through case studies using SAS & R |b implementing predictive models and machine learning techniques |c Deepti Gupta |
264 | 1 | |a New York |b APRESS |c 2018 | |
264 | 4 | |c © 2018 | |
300 | |a XX, 404 Seiten |b Diagramme |c 25.4 cm x 17.8 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a For professionals by professionals | |
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650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
653 | |a UN | ||
653 | |a UM | ||
653 | |a KJQ | ||
653 | |a Business Analytics | ||
653 | |a SAS | ||
653 | |a Machine Learning | ||
653 | |a Telecom | ||
653 | |a Healthcare | ||
653 | |a Banking | ||
653 | |a UN | ||
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689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
689 | 0 | 2 | |a SAS |g Programm |0 (DE-588)4195685-0 |D s |
689 | 0 | 3 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
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710 | 2 | |a Apress L.P. |0 (DE-588)1065538766 |4 pbl | |
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856 | 4 | 2 | |m X:MVB |q text/html |u http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm |3 Inhaltstext |
856 | 4 | 2 | |m X:MVB |u http://www.springer.com/ |
999 | |a oai:aleph.bib-bvb.de:BVB01-031255231 | ||
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883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
_version_ | 1804180014136033280 |
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any_adam_object | |
author | Gupta, Deepti |
author_facet | Gupta, Deepti |
author_role | aut |
author_sort | Gupta, Deepti |
author_variant | d g dg |
building | Verbundindex |
bvnumber | BV045871909 |
classification_rvk | ST 250 ST 601 |
ctrlnum | (OCoLC)1110073075 (DE-599)DNB1151061492 |
discipline | Informatik |
format | Book |
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id | DE-604.BV045871909 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:29:01Z |
institution | BVB |
institution_GND | (DE-588)1065538766 |
isbn | 9781484235249 148423524X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031255231 |
oclc_num | 1110073075 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | XX, 404 Seiten Diagramme 25.4 cm x 17.8 cm |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | APRESS |
record_format | marc |
series2 | For professionals by professionals |
spelling | Gupta, Deepti Verfasser aut Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta New York APRESS 2018 © 2018 XX, 404 Seiten Diagramme 25.4 cm x 17.8 cm txt rdacontent n rdamedia nc rdacarrier For professionals by professionals Auf der Coverrückseite: Shelve in: Databases / general, User level: Intermediate - advanced SAS Programm (DE-588)4195685-0 gnd rswk-swf Wirtschaftsinformatik (DE-588)4112736-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf UN UM KJQ Business Analytics SAS Machine Learning Telecom Healthcare Banking Big Data (DE-588)4802620-7 s Datenanalyse (DE-588)4123037-1 s SAS Programm (DE-588)4195685-0 s R Programm (DE-588)4705956-4 s 1\p DE-604 Wirtschaftsinformatik (DE-588)4112736-5 s Statistik (DE-588)4056995-0 s 2\p DE-604 Apress L.P. (DE-588)1065538766 pbl Elektronische Reproduktion 9781484235256 Erscheint auch als Online-Ausgabe 978-1-4842-3525-6 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Gupta, Deepti Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques SAS Programm (DE-588)4195685-0 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
subject_GND | (DE-588)4195685-0 (DE-588)4112736-5 (DE-588)4802620-7 (DE-588)4056995-0 (DE-588)4123037-1 (DE-588)4705956-4 |
title | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques |
title_auth | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques |
title_exact_search | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques |
title_full | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta |
title_fullStr | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta |
title_full_unstemmed | Applied analytics through case studies using SAS & R implementing predictive models and machine learning techniques Deepti Gupta |
title_short | Applied analytics through case studies using SAS & R |
title_sort | applied analytics through case studies using sas r implementing predictive models and machine learning techniques |
title_sub | implementing predictive models and machine learning techniques |
topic | SAS Programm (DE-588)4195685-0 gnd Wirtschaftsinformatik (DE-588)4112736-5 gnd Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
topic_facet | SAS Programm Wirtschaftsinformatik Big Data Statistik Datenanalyse R Programm |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=86af5347808c45489e6c61660d483fe0&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ |
work_keys_str_mv | AT guptadeepti appliedanalyticsthroughcasestudiesusingsasrimplementingpredictivemodelsandmachinelearningtechniques AT apresslp appliedanalyticsthroughcasestudiesusingsasrimplementingpredictivemodelsandmachinelearningtechniques |