Applied machine learning:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schlagworte: | |
| Beschreibung: | xxi, 494 Seiten Illustrationen, Diagramme (überwiegend farbig) |
| ISBN: | 9783030181130 9783030181161 |
Internformat
MARC
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| 020 | |a 9783030181161 |9 978-3-030-18116-1 | ||
| 035 | |a (OCoLC)1129395225 | ||
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| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
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| 100 | 1 | |a Forsyth, David |e Verfasser |0 (DE-588)110221471X |4 aut | |
| 245 | 1 | 0 | |a Applied machine learning |c David Forsyth |
| 264 | 1 | |a Cham |b Springer |c [2019] | |
| 264 | 4 | |c © 2019 | |
| 300 | |a xxi, 494 Seiten |b Illustrationen, Diagramme (überwiegend farbig) | ||
| 336 | |b txt |2 rdacontent | ||
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| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Markov-Modell |0 (DE-588)4168923-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-18114-7 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031597332 | ||
Datensatz im Suchindex
| _version_ | 1804180617976348672 |
|---|---|
| any_adam_object | |
| author | Forsyth, David |
| author_GND | (DE-588)110221471X |
| author_facet | Forsyth, David |
| author_role | aut |
| author_sort | Forsyth, David |
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| building | Verbundindex |
| bvnumber | BV046218609 |
| classification_rvk | ST 301 ST 300 |
| classification_tum | DAT 708f |
| ctrlnum | (OCoLC)1129395225 (DE-599)HEB45223235X |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV046218609 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:38:37Z |
| institution | BVB |
| isbn | 9783030181130 9783030181161 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031597332 |
| oclc_num | 1129395225 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-83 DE-11 |
| owner_facet | DE-91G DE-BY-TUM DE-83 DE-11 |
| physical | xxi, 494 Seiten Illustrationen, Diagramme (überwiegend farbig) |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| record_format | marc |
| spelling | Forsyth, David Verfasser (DE-588)110221471X aut Applied machine learning David Forsyth Cham Springer [2019] © 2019 xxi, 494 Seiten Illustrationen, Diagramme (überwiegend farbig) txt rdacontent n rdamedia nc rdacarrier Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Markov-Modell (DE-588)4168923-9 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Neuronales Netz (DE-588)4226127-2 s Markov-Modell (DE-588)4168923-9 s DE-604 Erscheint auch als Online-Ausgabe 978-3-030-18114-7 |
| spellingShingle | Forsyth, David Applied machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Markov-Modell (DE-588)4168923-9 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4168923-9 (DE-588)4226127-2 |
| title | Applied machine learning |
| title_auth | Applied machine learning |
| title_exact_search | Applied machine learning |
| title_full | Applied machine learning David Forsyth |
| title_fullStr | Applied machine learning David Forsyth |
| title_full_unstemmed | Applied machine learning David Forsyth |
| title_short | Applied machine learning |
| title_sort | applied machine learning |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Markov-Modell (DE-588)4168923-9 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Maschinelles Lernen Markov-Modell Neuronales Netz |
| work_keys_str_mv | AT forsythdavid appliedmachinelearning |