Machine learning for time-series with Python: 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
Oktober 2021
|
| Schlagworte: | |
| Beschreibung: | Auf dem Cover: expert insight |
| Beschreibung: | xv, 352 Seiten Illustrationen |
| ISBN: | 9781801819626 |
Internformat
MARC
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| 003 | DE-604 | ||
| 005 | 20221201 | ||
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| 008 | 220113s2021 a||| |||| 00||| eng d | ||
| 020 | |a 9781801819626 |c Pbk. 15637.99 |9 978-1-80181-962-6 | ||
| 035 | |a (OCoLC)1312707402 | ||
| 035 | |a (DE-599)BVBBV047669640 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 |a DE-862 | ||
| 100 | 1 | |a Auffarth, Ben |e Verfasser |0 (DE-588)1255802022 |4 aut | |
| 245 | 1 | 0 | |a Machine learning for time-series with Python |b forecast, predict, and detect anomalies with state-of-the-art machine learning methods |c Ben Auffarth |
| 264 | 1 | |a Birmingham ; Mumbai |b Packt |c Oktober 2021 | |
| 300 | |a xv, 352 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
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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 | |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 9781801816106 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033054316 | ||
Datensatz im Suchindex
| DE-BY-862_location | 2000 |
|---|---|
| DE-BY-FWS_call_number | 2000/ST 250 P99 A918 |
| DE-BY-FWS_katkey | 1011968 |
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| adam_txt | |
| any_adam_object | |
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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 | BV047669640 |
| ctrlnum | (OCoLC)1312707402 (DE-599)BVBBV047669640 |
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| id | DE-604.BV047669640 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:54:58Z |
| indexdate | 2024-11-26T04:00:52Z |
| institution | BVB |
| isbn | 9781801819626 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033054316 |
| oclc_num | 1312707402 |
| open_access_boolean | |
| owner | DE-706 DE-862 DE-BY-FWS |
| owner_facet | DE-706 DE-862 DE-BY-FWS |
| physical | xv, 352 Seiten Illustrationen |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Packt |
| record_format | marc |
| spellingShingle | Auffarth, Ben Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4434275-5 |
| title | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_auth | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_exact_search | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_exact_search_txtP | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| title_full | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth |
| title_fullStr | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth |
| title_full_unstemmed | Machine learning for time-series with Python forecast, predict, and detect anomalies with state-of-the-art machine learning methods Ben Auffarth |
| title_short | Machine learning for time-series with Python |
| title_sort | machine learning for time series with python forecast predict and detect anomalies with state of the art machine learning methods |
| title_sub | forecast, predict, and detect anomalies with state-of-the-art machine learning methods |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | Maschinelles Lernen Python Programmiersprache |
| work_keys_str_mv | AT auffarthben machinelearningfortimeserieswithpythonforecastpredictanddetectanomalieswithstateoftheartmachinelearningmethods |
Sonderstandort Fakultät
| Signatur: |
2000 ST 250 P99 A918 |
|---|---|
| Exemplar 1 | nicht ausleihbar Checked out – Rückgabe bis: 31.12.2099 Vormerken |