Ökonometrie und maschinelles Lernen: Basiswissen für Ökonomen
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | German |
| Published: |
Wiesbaden
Springer Gabler
[2023]
|
| Series: | essentials
|
| Subjects: | |
| Online Access: | Inhaltstext Auszug Inhaltsverzeichnis |
| Physical Description: | XIII, 57 Seiten 21 cm x 14.8 cm |
| ISBN: | 9783658413613 3658413611 |
Staff View
MARC
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Record in the Search Index
| _version_ | 1804185299666862080 |
|---|---|
| adam_text | 1
EINLEITUNG
.....................................................................................................
1
2
GRUNDLAGEN
DES
MASCHINELLEN
LERNENS
...................................................
5
2.1
UEBERWACHTES
LERNEN
...........................................................................
8
2.2
UNUEBERWACHTES
LERNEN
.....................................................................
20
2.3
VERSTAERKUNGSLERNEN
.............................................................................
22
3
PHASENSCHEMA
.............................................................................................
27
3.1
ZIELE
....................................................................................................
27
3.2
DATEN
..................................................................................................
30
3.3
MODELLIERUNG
......................................................................................
34
4
ANWENDUNGSBEREICHE
.................................................................................
41
4.1
INFORMATIONSEXTRAKTION
.......................................................................
43
4.2
VORHERSAGEN
........................................................................................
43
4.3
KAUSALITAET
............................................................................................
46
4.4
SIMULATIONEN
......................................................................................
48
5
FAZIT
..............................................................................................................
49
LITERATUR
............................................................................................................
55
IX
|
| adam_txt |
1
EINLEITUNG
.
1
2
GRUNDLAGEN
DES
MASCHINELLEN
LERNENS
.
5
2.1
UEBERWACHTES
LERNEN
.
8
2.2
UNUEBERWACHTES
LERNEN
.
20
2.3
VERSTAERKUNGSLERNEN
.
22
3
PHASENSCHEMA
.
27
3.1
ZIELE
.
27
3.2
DATEN
.
30
3.3
MODELLIERUNG
.
34
4
ANWENDUNGSBEREICHE
.
41
4.1
INFORMATIONSEXTRAKTION
.
43
4.2
VORHERSAGEN
.
43
4.3
KAUSALITAET
.
46
4.4
SIMULATIONEN
.
48
5
FAZIT
.
49
LITERATUR
.
55
IX |
| any_adam_object | 1 |
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| author | Andrae, Silvio 1967- |
| author_GND | (DE-588)121980359 |
| author_facet | Andrae, Silvio 1967- |
| author_role | aut |
| author_sort | Andrae, Silvio 1967- |
| author_variant | s a sa |
| building | Verbundindex |
| bvnumber | BV049021724 |
| classification_rvk | QH 330 ST 302 |
| ctrlnum | (OCoLC)1374210544 (DE-599)DNB1284096807 |
| dewey-full | 330.015195 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.015195 |
| dewey-search | 330.015195 |
| dewey-sort | 3330.015195 |
| dewey-tens | 330 - Economics |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV049021724 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:14:00Z |
| indexdate | 2024-07-10T09:53:02Z |
| institution | BVB |
| institution_GND | (DE-588)1043386068 |
| isbn | 9783658413613 3658413611 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034284608 |
| oclc_num | 1374210544 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-860 |
| owner_facet | DE-355 DE-BY-UBR DE-860 |
| physical | XIII, 57 Seiten 21 cm x 14.8 cm |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Gabler |
| record_format | marc |
| series2 | essentials |
| spelling | Andrae, Silvio 1967- Verfasser (DE-588)121980359 aut Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen Silvio Andrae Wiesbaden Springer Gabler [2023] XIII, 57 Seiten 21 cm x 14.8 cm txt rdacontent n rdamedia nc rdacarrier essentials Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Ökonometrie Maschinelles Lernen Machine Learning Big Data Programmiersprachen Ökonometrie (DE-588)4132280-0 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Springer Fachmedien Wiesbaden (DE-588)1043386068 pbl Erscheint auch als Online-Ausgabe 978-3-658-41362-0 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=0b64f139eb4e46c0aed38311d6922c0b&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB https://link.springer.com/978-3-658-41361-3 Auszug DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034284608&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20230322 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Andrae, Silvio 1967- Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen Maschinelles Lernen (DE-588)4193754-5 gnd Ökonometrie (DE-588)4132280-0 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4132280-0 |
| title | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen |
| title_auth | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen |
| title_exact_search | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen |
| title_exact_search_txtP | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen |
| title_full | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen Silvio Andrae |
| title_fullStr | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen Silvio Andrae |
| title_full_unstemmed | Ökonometrie und maschinelles Lernen Basiswissen für Ökonomen Silvio Andrae |
| title_short | Ökonometrie und maschinelles Lernen |
| title_sort | okonometrie und maschinelles lernen basiswissen fur okonomen |
| title_sub | Basiswissen für Ökonomen |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Ökonometrie (DE-588)4132280-0 gnd |
| topic_facet | Maschinelles Lernen Ökonometrie |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=0b64f139eb4e46c0aed38311d6922c0b&prov=M&dok_var=1&dok_ext=htm https://link.springer.com/978-3-658-41361-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034284608&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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