Verfügbarkeit: Time series forecasting in Python

Time series forecasting in Python:

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Peixeiro, Marco (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Shelter Island Manning [2022]
Schlagworte:	Deep Learning Python > Programmiersprache Prognose Statistisches Modell Zeitreihenanalyse Time-series analysis / Data processing Time-series analysis / Computer programs Python (Computer program language)
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	xxv, 426 Seiten Illustrationen, Diagramme 24 cm
ISBN:	9781617299889

Internformat

MARC


LEADER	00000nam a2200000 c 4500
001	BV049456969
003	DE-604
005	20240122
007	t\|
008	231207s2022 xxua\|\|\| \|\|\|\| 00\|\|\| eng d
020			\|a 9781617299889 \|9 978-1-61729-988-9
035			\|a (OCoLC)1350454225
035			\|a (DE-599)KXP1819960439
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
044			\|a xxu \|c XD-US
049			\|a DE-11
082	0		\|a 519.55 \|2 23
084			\|a ST 250 \|0 (DE-625)143626: \|2 rvk
084			\|a ST 530 \|0 (DE-625)143679: \|2 rvk
084			\|a 54.72 \|2 bkl
084			\|a 31.73 \|2 bkl
100	1		\|a Peixeiro, Marco \|e Verfasser \|4 aut
245	1	0	\|a Time series forecasting in Python \|c Marco Peixeiro
264		1	\|a Shelter Island \|b Manning \|c [2022]
264		4	\|c © 2022
300			\|a xxv, 426 Seiten \|b Illustrationen, Diagramme \|c 24 cm
336			\|b txt \|2 rdacontent
337			\|b n \|2 rdamedia
338			\|b nc \|2 rdacarrier
650	0	7	\|a Deep Learning \|0 (DE-588)1135597375 \|2 gnd \|9 rswk-swf
650	0	7	\|a Python \|g Programmiersprache \|0 (DE-588)4434275-5 \|2 gnd \|9 rswk-swf
650	0	7	\|a Prognose \|0 (DE-588)4047390-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Statistisches Modell \|0 (DE-588)4121722-6 \|2 gnd \|9 rswk-swf
650	0	7	\|a Zeitreihenanalyse \|0 (DE-588)4067486-1 \|2 gnd \|9 rswk-swf
653		0	\|a Time-series analysis / Data processing
653		0	\|a Time-series analysis / Computer programs
653		0	\|a Python (Computer program language)
689	0	0	\|a Zeitreihenanalyse \|0 (DE-588)4067486-1 \|D s
689	0	1	\|a Prognose \|0 (DE-588)4047390-9 \|D s
689	0	2	\|a Statistisches Modell \|0 (DE-588)4121722-6 \|D s
689	0	3	\|a Python \|g Programmiersprache \|0 (DE-588)4434275-5 \|D s
689	0	4	\|a Deep Learning \|0 (DE-588)1135597375 \|D s
689	0		\|5 DE-604
856	4	2	\|u http://www.gbv.de/dms/bowker/toc/9781617299889.pdf \|v 2022-12-29 \|x Aggregator \|3 Inhaltsverzeichnis
943	1		\|a oai:aleph.bib-bvb.de:BVB01-034802756

Datensatz im Suchindex

_version_	1823932153224757248
adam_text
adam_txt
any_adam_object
any_adam_object_boolean
author	Peixeiro, Marco
author_facet	Peixeiro, Marco
author_role	aut
author_sort	Peixeiro, Marco
author_variant	m p mp
building	Verbundindex
bvnumber	BV049456969
classification_rvk	ST 250 ST 530
ctrlnum	(OCoLC)1350454225 (DE-599)KXP1819960439
dewey-full	519.55
dewey-hundreds	500 - Natural sciences and mathematics
dewey-ones	519 - Probabilities and applied mathematics
dewey-raw	519.55
dewey-search	519.55
dewey-sort	3519.55
dewey-tens	510 - Mathematics
discipline	Informatik Mathematik
discipline_str_mv	Informatik Mathematik
format	Book
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049456969</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240122</controlfield><controlfield tag="007">t\|</controlfield><controlfield tag="008">231207s2022 xxua\|\|\| \|\|\|\| 00\|\|\| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781617299889</subfield><subfield code="9">978-1-61729-988-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1350454225</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1819960439</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.55</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">31.73</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Peixeiro, Marco</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Time series forecasting in Python</subfield><subfield code="c">Marco Peixeiro</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Shelter Island</subfield><subfield code="b">Manning</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxv, 426 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield><subfield code="c">24 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Deep Learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Prognose</subfield><subfield code="0">(DE-588)4047390-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistisches Modell</subfield><subfield code="0">(DE-588)4121722-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Zeitreihenanalyse</subfield><subfield code="0">(DE-588)4067486-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Time-series analysis / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Time-series analysis / Computer programs</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Zeitreihenanalyse</subfield><subfield code="0">(DE-588)4067486-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Prognose</subfield><subfield code="0">(DE-588)4047390-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Statistisches Modell</subfield><subfield code="0">(DE-588)4121722-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Deep Learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.gbv.de/dms/bowker/toc/9781617299889.pdf</subfield><subfield code="v">2022-12-29</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034802756</subfield></datafield></record></collection>
id	DE-604.BV049456969
illustrated	Illustrated
index_date	2024-07-03T23:14:03Z
indexdate	2025-02-13T09:00:49Z
institution	BVB
isbn	9781617299889
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034802756
oclc_num	1350454225
open_access_boolean
owner	DE-11
owner_facet	DE-11
physical	xxv, 426 Seiten Illustrationen, Diagramme 24 cm
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Manning
record_format	marc
spelling	Peixeiro, Marco Verfasser aut Time series forecasting in Python Marco Peixeiro Shelter Island Manning [2022] © 2022 xxv, 426 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Deep Learning (DE-588)1135597375 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Time-series analysis / Data processing Time-series analysis / Computer programs Python (Computer program language) Zeitreihenanalyse (DE-588)4067486-1 s Prognose (DE-588)4047390-9 s Statistisches Modell (DE-588)4121722-6 s Python Programmiersprache (DE-588)4434275-5 s Deep Learning (DE-588)1135597375 s DE-604 http://www.gbv.de/dms/bowker/toc/9781617299889.pdf 2022-12-29 Aggregator Inhaltsverzeichnis
spellingShingle	Peixeiro, Marco Time series forecasting in Python Deep Learning (DE-588)1135597375 gnd Python Programmiersprache (DE-588)4434275-5 gnd Prognose (DE-588)4047390-9 gnd Statistisches Modell (DE-588)4121722-6 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd
subject_GND	(DE-588)1135597375 (DE-588)4434275-5 (DE-588)4047390-9 (DE-588)4121722-6 (DE-588)4067486-1
title	Time series forecasting in Python
title_auth	Time series forecasting in Python
title_exact_search	Time series forecasting in Python
title_exact_search_txtP	Time series forecasting in Python
title_full	Time series forecasting in Python Marco Peixeiro
title_fullStr	Time series forecasting in Python Marco Peixeiro
title_full_unstemmed	Time series forecasting in Python Marco Peixeiro
title_short	Time series forecasting in Python
title_sort	time series forecasting in python
topic	Deep Learning (DE-588)1135597375 gnd Python Programmiersprache (DE-588)4434275-5 gnd Prognose (DE-588)4047390-9 gnd Statistisches Modell (DE-588)4121722-6 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd
topic_facet	Deep Learning Python Programmiersprache Prognose Statistisches Modell Zeitreihenanalyse
url	http://www.gbv.de/dms/bowker/toc/9781617299889.pdf
work_keys_str_mv	AT peixeiromarco timeseriesforecastinginpython

Verfügbarkeit

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Inhaltsverzeichnis

MARC

Datensatz im Suchindex

Es ist kein Print-Exemplar vorhanden.

Ähnliche Einträge