Mathematical introduction to data science:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Springer
2024
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Auszug |
| Beschreibung: | IX, 299 Seiten Illustrationen 23.5 cm x 15.5 cm |
| ISBN: | 9783662694251 3662694255 |
Internformat
MARC
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| 240 | 1 | 0 | |a Mathematische Einführung in Data Science |
| 245 | 1 | 0 | |a Mathematical introduction to data science |c Sven A. Wegner |
| 264 | 1 | |a Berlin |b Springer |c 2024 | |
| 300 | |a IX, 299 Seiten |b Illustrationen |c 23.5 cm x 15.5 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 653 | |a Machine Learning | ||
| 653 | |a Data Science | ||
| 653 | |a Support Vector Machines | ||
| 653 | |a Neuronale Netze | ||
| 653 | |a Deep learning | ||
| 653 | |a Perceptron | ||
| 653 | |a Vector support machines | ||
| 653 | |a SVM | ||
| 653 | |a Kernel methods | ||
| 653 | |a Neural Networks | ||
| 653 | |a Applied functional analysis | ||
| 653 | |a Measure Concentration | ||
| 710 | 2 | |a Springer-Verlag GmbH |0 (DE-588)1065168780 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 9783662694268 |
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| 856 | 4 | 2 | |m X:MVB |q text/html |u https://link.springer.com/978-3-662-69425-1 |3 Auszug |
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Datensatz im Suchindex
| _version_ | 1817696983095181312 |
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| adam_text | |
| any_adam_object | |
| author | Wegner, Sven-Ake |
| author_GND | (DE-588)1323211683 |
| author_facet | Wegner, Sven-Ake |
| author_role | aut |
| author_sort | Wegner, Sven-Ake |
| author_variant | s a w saw |
| building | Verbundindex |
| bvnumber | BV049889073 |
| ctrlnum | (OCoLC)1466924321 (DE-599)DNB1327050420 |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-12-06T13:15:27Z |
| institution | BVB |
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| isbn | 9783662694251 3662694255 |
| language | English |
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| physical | IX, 299 Seiten Illustrationen 23.5 cm x 15.5 cm |
| publishDate | 2024 |
| publishDateSearch | 2024 |
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| publisher | Springer |
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| spelling | Wegner, Sven-Ake Verfasser (DE-588)1323211683 aut Mathematische Einführung in Data Science Mathematical introduction to data science Sven A. Wegner Berlin Springer 2024 IX, 299 Seiten Illustrationen 23.5 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier Machine Learning Data Science Support Vector Machines Neuronale Netze Deep learning Perceptron Vector support machines SVM Kernel methods Neural Networks Applied functional analysis Measure Concentration Springer-Verlag GmbH (DE-588)1065168780 pbl Erscheint auch als Online-Ausgabe 9783662694268 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=ec203efd602e469ab4ba403efaf1144f&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB text/html https://link.springer.com/978-3-662-69425-1 Auszug 1\p vlb 20240423 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Wegner, Sven-Ake Mathematical introduction to data science |
| title | Mathematical introduction to data science |
| title_alt | Mathematische Einführung in Data Science |
| title_auth | Mathematical introduction to data science |
| title_exact_search | Mathematical introduction to data science |
| title_full | Mathematical introduction to data science Sven A. Wegner |
| title_fullStr | Mathematical introduction to data science Sven A. Wegner |
| title_full_unstemmed | Mathematical introduction to data science Sven A. Wegner |
| title_short | Mathematical introduction to data science |
| title_sort | mathematical introduction to data science |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=ec203efd602e469ab4ba403efaf1144f&prov=M&dok_var=1&dok_ext=htm https://link.springer.com/978-3-662-69425-1 |
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