Fundamentals of predictive analytics with JMP:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cary, NC, USA
SAS Institute Inc.
April 2023
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Ausgabe: | Third edition |
Schlagworte: | |
Beschreibung: | xv, 469 Seiten Illustrationen, Diagramme |
ISBN: | 9781685800031 9781685800277 |
Internformat
MARC
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020 | |a 9781685800031 |c Hardcover |9 978-1-68580-003-1 | ||
020 | |a 9781685800277 |c Paperback |9 978-1-68580-027-7 | ||
035 | |a (OCoLC)1390808600 | ||
035 | |a (DE-599)BVBBV049020693 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-188 | ||
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100 | 1 | |a Klimberg, Ron |e Verfasser |0 (DE-588)1062527119 |4 aut | |
245 | 1 | 0 | |a Fundamentals of predictive analytics with JMP |c Ron Klimberg |
250 | |a Third edition | ||
264 | 1 | |a Cary, NC, USA |b SAS Institute Inc. |c April 2023 | |
300 | |a xv, 469 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
505 | 8 | |a Introduction -- Statistics review -- Dirty data -- Data discovery with multivariate data -- Regression and ANOVA -- Logistic regression -- Principal components analysis -- Least absolute shrinkage and selection operator and elastic net -- Cluster analysis -- Decision trees -- k-Nearest neighbors -- Neural networks -- Bootstrap forests and boosted trees -- Model comparison -- Text mining -- Market basket analysis -- Statistical storytelling | |
650 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Statistik | |
653 | |a JMP (Computer file) | ||
653 | 0 | |a Statistics / Graphic methods | |
653 | 0 | |a Mathematical statistics / Data processing | |
653 | 0 | |a Data mining | |
653 | |a JMP (Computer file) | ||
653 | 0 | |a Data mining | |
653 | 0 | |a Mathematical statistics / Data processing | |
653 | 0 | |a Statistics / Graphic methods | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-1-68580-000-0 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, EPUB |z 978-1-68580-001-7 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, Kindle |z 978-1-68580-002-4 |
999 | |a oai:aleph.bib-bvb.de:BVB01-034283593 |
Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Klimberg, Ron |
author_GND | (DE-588)1062527119 |
author_facet | Klimberg, Ron |
author_role | aut |
author_sort | Klimberg, Ron |
author_variant | r k rk |
building | Verbundindex |
bvnumber | BV049020693 |
classification_rvk | QH 230 QH 233 QH 234 |
contents | Introduction -- Statistics review -- Dirty data -- Data discovery with multivariate data -- Regression and ANOVA -- Logistic regression -- Principal components analysis -- Least absolute shrinkage and selection operator and elastic net -- Cluster analysis -- Decision trees -- k-Nearest neighbors -- Neural networks -- Bootstrap forests and boosted trees -- Model comparison -- Text mining -- Market basket analysis -- Statistical storytelling |
ctrlnum | (OCoLC)1390808600 (DE-599)BVBBV049020693 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
edition | Third edition |
format | Book |
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id | DE-604.BV049020693 |
illustrated | Illustrated |
index_date | 2024-07-03T22:13:44Z |
indexdate | 2024-07-10T09:53:00Z |
institution | BVB |
isbn | 9781685800031 9781685800277 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034283593 |
oclc_num | 1390808600 |
open_access_boolean | |
owner | DE-188 |
owner_facet | DE-188 |
physical | xv, 469 Seiten Illustrationen, Diagramme |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | SAS Institute Inc. |
record_format | marc |
spelling | Klimberg, Ron Verfasser (DE-588)1062527119 aut Fundamentals of predictive analytics with JMP Ron Klimberg Third edition Cary, NC, USA SAS Institute Inc. April 2023 xv, 469 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Introduction -- Statistics review -- Dirty data -- Data discovery with multivariate data -- Regression and ANOVA -- Logistic regression -- Principal components analysis -- Least absolute shrinkage and selection operator and elastic net -- Cluster analysis -- Decision trees -- k-Nearest neighbors -- Neural networks -- Bootstrap forests and boosted trees -- Model comparison -- Text mining -- Market basket analysis -- Statistical storytelling Datenverarbeitung Statistik JMP (Computer file) Statistics / Graphic methods Mathematical statistics / Data processing Data mining Erscheint auch als Online-Ausgabe, PDF 978-1-68580-000-0 Erscheint auch als Online-Ausgabe, EPUB 978-1-68580-001-7 Erscheint auch als Online-Ausgabe, Kindle 978-1-68580-002-4 |
spellingShingle | Klimberg, Ron Fundamentals of predictive analytics with JMP Introduction -- Statistics review -- Dirty data -- Data discovery with multivariate data -- Regression and ANOVA -- Logistic regression -- Principal components analysis -- Least absolute shrinkage and selection operator and elastic net -- Cluster analysis -- Decision trees -- k-Nearest neighbors -- Neural networks -- Bootstrap forests and boosted trees -- Model comparison -- Text mining -- Market basket analysis -- Statistical storytelling Datenverarbeitung Statistik |
title | Fundamentals of predictive analytics with JMP |
title_auth | Fundamentals of predictive analytics with JMP |
title_exact_search | Fundamentals of predictive analytics with JMP |
title_exact_search_txtP | Fundamentals of predictive analytics with JMP |
title_full | Fundamentals of predictive analytics with JMP Ron Klimberg |
title_fullStr | Fundamentals of predictive analytics with JMP Ron Klimberg |
title_full_unstemmed | Fundamentals of predictive analytics with JMP Ron Klimberg |
title_short | Fundamentals of predictive analytics with JMP |
title_sort | fundamentals of predictive analytics with jmp |
topic | Datenverarbeitung Statistik |
topic_facet | Datenverarbeitung Statistik |
work_keys_str_mv | AT klimbergron fundamentalsofpredictiveanalyticswithjmp |