Verfügbarkeit: Time Series Algorithms Recipes

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Kulkarni, Akshay R. (VerfasserIn), Shivananda, Adarsha (VerfasserIn), Kulkarni, Anoosh (VerfasserIn), Krishnan, V Adithya (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berkeley, CA Apress 2023 Berkeley, CA
Ausgabe:	1st ed. 2023
Schlagworte:	Machine Learning Artificial Intelligence Python Machine learning Artificial intelligence Python (Computer program language)
Online-Zugang:	BFB01 FAB01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHO01 FHR01 FKE01 FLA01 FWS01 FWS02 HTW01 UBW01 UBY01 UEI01 Volltext
Beschreibung:	1 Online-Ressource (XVI, 174 p. 97 illus)
ISBN:	9781484289785
DOI:	10.1007/978-1-4842-8978-5

Internformat

MARC


LEADER	00000nmm a2200000zc 4500
001	BV048638942
003	DE-604
005	20240426
007	cr\|uuu---uuuuu
008	230110s2023 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
020			\|a 9781484289785 \|c Online \|9 978-1-4842-8978-5
024	7		\|a 10.1007/978-1-4842-8978-5 \|2 doi
035			\|a (ZDB-2-CWD)9781484289785
035			\|a (OCoLC)1357528920
035			\|a (DE-599)BVBBV048638942
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-522 \|a DE-824 \|a DE-860 \|a DE-1046 \|a DE-1043 \|a DE-Aug4 \|a DE-898 \|a DE-188 \|a DE-523 \|a DE-859 \|a DE-863 \|a DE-1050 \|a DE-20 \|a DE-1051 \|a DE-862 \|a DE-92 \|a DE-573 \|a DE-M347 \|a DE-706
082	0		\|a 006.31 \|2 23
084			\|a DAT 000 \|2 stub
100	1		\|a Kulkarni, Akshay R. \|e Verfasser \|4 aut
245	1	0	\|a Time Series Algorithms Recipes \|b Implement Machine Learning and Deep Learning Techniques with Python \|c by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
250			\|a 1st ed. 2023
264		1	\|a Berkeley, CA \|b Apress \|c 2023
264		1	\|a Berkeley, CA \|b Apress
300			\|a 1 Online-Ressource (XVI, 174 p. 97 illus)
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
650		4	\|a Machine Learning
650		4	\|a Artificial Intelligence
650		4	\|a Python
650		4	\|a Machine learning
650		4	\|a Artificial intelligence
650		4	\|a Python (Computer program language)
700	1		\|a Shivananda, Adarsha \|4 aut
700	1		\|a Kulkarni, Anoosh \|4 aut
700	1		\|a Krishnan, V Adithya \|4 aut
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-1-4842-8977-8
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-1-4842-8979-2
856	4	0	\|u https://doi.org/10.1007/978-1-4842-8978-5 \|x Verlag \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-2-CWD
940	1		\|q ZDB-2-CWD_2023
999			\|a oai:aleph.bib-bvb.de:BVB01-034013908
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l BFB01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FAB01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FAW01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHA01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHD01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHI01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHM01 \|p ZDB-2-CWD \|q FHM_PDA_CWD_Kauf \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHN01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHO01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FHR01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FKE01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FLA01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FWS01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l FWS02 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l HTW01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l UBW01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l UBY01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-1-4842-8978-5 \|l UEI01 \|p ZDB-2-CWD \|x Verlag \|3 Volltext

Datensatz im Suchindex

DE-BY-FWS_katkey	1025204
_version_	1806174958855913472
adam_txt
any_adam_object
any_adam_object_boolean
author	Kulkarni, Akshay R. Shivananda, Adarsha Kulkarni, Anoosh Krishnan, V Adithya
author_facet	Kulkarni, Akshay R. Shivananda, Adarsha Kulkarni, Anoosh Krishnan, V Adithya
author_role	aut aut aut aut
author_sort	Kulkarni, Akshay R.
author_variant	a r k ar ark a s as a k ak v a k va vak
building	Verbundindex
bvnumber	BV048638942
classification_tum	DAT 000
collection	ZDB-2-CWD
ctrlnum	(ZDB-2-CWD)9781484289785 (OCoLC)1357528920 (DE-599)BVBBV048638942
dewey-full	006.31
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
dewey-raw	006.31
dewey-search	006.31
dewey-sort	16.31
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
discipline_str_mv	Informatik
doi_str_mv	10.1007/978-1-4842-8978-5
edition	1st ed. 2023
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03587nmm a2200709zc 4500</leader><controlfield tag="001">BV048638942</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240426 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">230110s2023 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484289785</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4842-8978-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4842-8978-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-CWD)9781484289785</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1357528920</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048638942</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="049" ind1=" " ind2=" "><subfield code="a">DE-522</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kulkarni, Akshay R.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Time Series Algorithms Recipes</subfield><subfield code="b">Implement Machine Learning and Deep Learning Techniques with Python</subfield><subfield code="c">by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVI, 174 p. 97 illus)</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shivananda, Adarsha</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kulkarni, Anoosh</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krishnan, V Adithya</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-4842-8977-8</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-4842-8979-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-CWD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-CWD_2023</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034013908</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">BFB01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="q">FHM_PDA_CWD_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHO01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">UBW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-8978-5</subfield><subfield code="l">UEI01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
id	DE-604.BV048638942
illustrated	Not Illustrated
index_date	2024-07-03T21:17:07Z
indexdate	2024-08-01T10:57:49Z
institution	BVB
isbn	9781484289785
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034013908
oclc_num	1357528920
open_access_boolean
owner	DE-522 DE-824 DE-860 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-188 DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706
owner_facet	DE-522 DE-824 DE-860 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-188 DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706
physical	1 Online-Ressource (XVI, 174 p. 97 illus)
psigel	ZDB-2-CWD ZDB-2-CWD_2023 ZDB-2-CWD FHM_PDA_CWD_Kauf
publishDate	2023
publishDateSearch	2023
publishDateSort	2023
publisher	Apress
record_format	marc
spellingShingle	Kulkarni, Akshay R. Shivananda, Adarsha Kulkarni, Anoosh Krishnan, V Adithya Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python Machine Learning Artificial Intelligence Python Machine learning Artificial intelligence Python (Computer program language)
title	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python
title_auth	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python
title_exact_search	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python
title_exact_search_txtP	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python
title_full	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
title_fullStr	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
title_full_unstemmed	Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
title_short	Time Series Algorithms Recipes
title_sort	time series algorithms recipes implement machine learning and deep learning techniques with python
title_sub	Implement Machine Learning and Deep Learning Techniques with Python
topic	Machine Learning Artificial Intelligence Python Machine learning Artificial intelligence Python (Computer program language)
topic_facet	Machine Learning Artificial Intelligence Python Machine learning Artificial intelligence Python (Computer program language)
url	https://doi.org/10.1007/978-1-4842-8978-5
work_keys_str_mv	AT kulkarniakshayr timeseriesalgorithmsrecipesimplementmachinelearninganddeeplearningtechniqueswithpython AT shivanandaadarsha timeseriesalgorithmsrecipesimplementmachinelearninganddeeplearningtechniqueswithpython AT kulkarnianoosh timeseriesalgorithmsrecipesimplementmachinelearninganddeeplearningtechniqueswithpython AT krishnanvadithya timeseriesalgorithmsrecipesimplementmachinelearninganddeeplearningtechniqueswithpython

Verfügbarkeit

Volltext öffnen

MARC

Datensatz im Suchindex

Ähnliche Einträge