Machine learning for time-series: use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
2023
|
| Ausgabe: | 2nd revised edition |
| Schlagworte: | |
| Beschreibung: | 392 Seiten Illustrationen |
| ISBN: | 9781837631339 |
Internformat
MARC
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| 250 | |a 2nd revised edition | ||
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| 336 | |b txt |2 rdacontent | ||
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| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Time-series analysis / Data processing | |
| 653 | 0 | |a Time-series analysis / Computer programs | |
| 653 | 0 | |a Python (Computer program language) | |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Python (Computer program language) | |
| 653 | 0 | |a Time-series analysis / Computer programs | |
| 653 | 0 | |a Time-series analysis / Data processing | |
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Datensatz im Suchindex
| _version_ | 1813811802358677504 |
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| author | Auffarth, Ben |
| author_GND | (DE-588)1255802022 |
| author_facet | Auffarth, Ben |
| author_role | aut |
| author_sort | Auffarth, Ben |
| author_variant | b a ba |
| building | Verbundindex |
| bvnumber | BV048986205 |
| classification_rvk | ST 250 |
| ctrlnum | (DE-599)BVBBV048986205 |
| discipline | Informatik |
| edition | 2nd revised edition |
| format | Book |
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| id | DE-604.BV048986205 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:06:07Z |
| indexdate | 2024-10-24T16:02:10Z |
| institution | BVB |
| isbn | 9781837631339 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034249628 |
| open_access_boolean | |
| owner | DE-945 DE-83 |
| owner_facet | DE-945 DE-83 |
| physical | 392 Seiten Illustrationen |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Packt |
| record_format | marc |
| spelling | Auffarth, Ben Verfasser (DE-588)1255802022 aut Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth 2nd revised edition Birmingham ; Mumbai Packt 2023 392 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Machine learning Time-series analysis / Data processing Time-series analysis / Computer programs Python (Computer program language) Maschinelles Lernen (DE-588)4193754-5 s Python Programmiersprache (DE-588)4434275-5 s DE-604 Erscheint auch als Online-Ausgabe 9781801816106 |
| spellingShingle | Auffarth, Ben Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4434275-5 (DE-588)4193754-5 |
| title | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_auth | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_exact_search | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_exact_search_txtP | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_full | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth |
| title_fullStr | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth |
| title_full_unstemmed | Machine learning for time-series use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth |
| title_short | Machine learning for time-series |
| title_sort | machine learning for time series use python to forecast predict and detect anomalies with state of the art machine learning methods |
| title_sub | use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| topic | Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Python Programmiersprache Maschinelles Lernen |
| work_keys_str_mv | AT auffarthben machinelearningfortimeseriesusepythontoforecastpredictanddetectanomalieswithstateoftheartmachinelearningmethods |