Feature engineering and selection: a practical approach for predictive models
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2021
|
| Ausgabe: | First issued in paperback |
| Schriftenreihe: | Data science series
|
| Schlagworte: | |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xv, 297 Seiten Diagramme 27 cm |
| ISBN: | 9781032090856 |
Internformat
MARC
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|---|---|---|---|
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| 003 | DE-604 | ||
| 007 | t | ||
| 008 | 230809s2021 xxu|||| |||| 00||| eng d | ||
| 020 | |a 9781032090856 |c Paperback |9 978-1-03-209085-6 | ||
| 035 | |a (OCoLC)1401190608 | ||
| 035 | |a (DE-599)BVBBV049095055 | ||
| 040 | |a DE-604 |b ger |e rda | ||
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| 100 | 1 | |a Kuhn, Max |e Verfasser |0 (DE-588)1093876328 |4 aut | |
| 245 | 1 | 0 | |a Feature engineering and selection |b a practical approach for predictive models |c Max Kuhn, Kjell Johnson |
| 250 | |a First issued in paperback | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2021 | |
| 300 | |a xv, 297 Seiten |b Diagramme |c 27 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Data science series | |
| 500 | |a Includes bibliographical references and index | ||
| 650 | 0 | 7 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Predictive control / Data processing | |
| 653 | 0 | |a Predictive control / Mathematical models | |
| 653 | 0 | |a R (Computer program language) | |
| 653 | 0 | |a Predictive control ; Mathematical models | |
| 653 | 0 | |a R (Computer program language) | |
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| 689 | 0 | 1 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
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Datensatz im Suchindex
| _version_ | 1808587854633238528 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Kuhn, Max Johnson, Kjell |
| author_GND | (DE-588)1093876328 (DE-588)109387998X |
| author_facet | Kuhn, Max Johnson, Kjell |
| author_role | aut aut |
| author_sort | Kuhn, Max |
| author_variant | m k mk k j kj |
| building | Verbundindex |
| bvnumber | BV049095055 |
| callnumber-first | T - Technology |
| callnumber-label | TJ217 |
| callnumber-raw | TJ217.6 |
| callnumber-search | TJ217.6 |
| callnumber-sort | TJ 3217.6 |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| classification_rvk | ST 270 ST 302 ST 601 |
| ctrlnum | (OCoLC)1401190608 (DE-599)BVBBV049095055 |
| dewey-full | 629.80285/53 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.80285/53 |
| dewey-search | 629.80285/53 |
| dewey-sort | 3629.80285 253 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| discipline_str_mv | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| edition | First issued in paperback |
| format | Book |
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| id | DE-604.BV049095055 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:30:54Z |
| indexdate | 2024-08-28T00:09:45Z |
| institution | BVB |
| isbn | 9781032090856 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034356695 |
| oclc_num | 1401190608 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | xv, 297 Seiten Diagramme 27 cm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series2 | Data science series |
| spelling | Kuhn, Max Verfasser (DE-588)1093876328 aut Feature engineering and selection a practical approach for predictive models Max Kuhn, Kjell Johnson First issued in paperback Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2021 xv, 297 Seiten Diagramme 27 cm txt rdacontent n rdamedia nc rdacarrier Data science series Includes bibliographical references and index Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Predictive control / Data processing Predictive control / Mathematical models R (Computer program language) Predictive control ; Mathematical models R Programm (DE-588)4705956-4 s Mustererkennung (DE-588)4040936-3 s Merkmalsextraktion (DE-588)4314440-8 s DE-604 Johnson, Kjell Verfasser (DE-588)109387998X aut Äquivalent Druck-Ausgabe, Hardcover 978-1-138-07922-9 Erscheint auch als Online-Ausgabe 9781351609470 |
| spellingShingle | Kuhn, Max Johnson, Kjell Feature engineering and selection a practical approach for predictive models Merkmalsextraktion (DE-588)4314440-8 gnd R Programm (DE-588)4705956-4 gnd Mustererkennung (DE-588)4040936-3 gnd |
| subject_GND | (DE-588)4314440-8 (DE-588)4705956-4 (DE-588)4040936-3 |
| title | Feature engineering and selection a practical approach for predictive models |
| title_auth | Feature engineering and selection a practical approach for predictive models |
| title_exact_search | Feature engineering and selection a practical approach for predictive models |
| title_exact_search_txtP | Feature engineering and selection a practical approach for predictive models |
| title_full | Feature engineering and selection a practical approach for predictive models Max Kuhn, Kjell Johnson |
| title_fullStr | Feature engineering and selection a practical approach for predictive models Max Kuhn, Kjell Johnson |
| title_full_unstemmed | Feature engineering and selection a practical approach for predictive models Max Kuhn, Kjell Johnson |
| title_short | Feature engineering and selection |
| title_sort | feature engineering and selection a practical approach for predictive models |
| title_sub | a practical approach for predictive models |
| topic | Merkmalsextraktion (DE-588)4314440-8 gnd R Programm (DE-588)4705956-4 gnd Mustererkennung (DE-588)4040936-3 gnd |
| topic_facet | Merkmalsextraktion R Programm Mustererkennung |
| work_keys_str_mv | AT kuhnmax featureengineeringandselectionapracticalapproachforpredictivemodels AT johnsonkjell featureengineeringandselectionapracticalapproachforpredictivemodels |