Applied machine learning:
Gespeichert in:
1. Verfasser: | |
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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 | |
049 | |a DE-91G |a DE-83 |a DE-11 | ||
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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 | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
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
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any_adam_object | |
author | Forsyth, David |
author_GND | (DE-588)110221471X |
author_facet | 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 |