Causal inference and discovery in Python - machine learning and Pearlian perspective: unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
[2023]
|
| Umfang: | xxv, 429 Seiten Illustrationen, graphische Darstellungen 24 cm |
| ISBN: | 9781804612989 |
Internformat
MARC
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| 001 | BV049530479 | ||
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| 020 | |a 9781804612989 |9 978-1-80461-298-9 | ||
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| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Molak, Aleksander |e Verfasser |0 (DE-588)1315452197 |4 aut | |
| 245 | 1 | 0 | |a Causal inference and discovery in Python - machine learning and Pearlian perspective |b unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |c Aleksander Molak |
| 264 | 1 | |a Birmingham ; Mumbai |b Packt |c [2023] | |
| 300 | |a xxv, 429 Seiten |b Illustrationen, graphische Darstellungen |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034876135 | |
Datensatz im Suchindex
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| author | Molak, Aleksander |
| author_GND | (DE-588)1315452197 |
| author_facet | Molak, Aleksander |
| author_role | aut |
| author_sort | Molak, Aleksander |
| author_variant | a m am |
| building | Verbundindex |
| bvnumber | BV049530479 |
| classification_rvk | ST 250 |
| ctrlnum | (DE-599)HEB512032211 |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV049530479 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T20:14:39Z |
| institution | BVB |
| isbn | 9781804612989 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034876135 |
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| physical | xxv, 429 Seiten Illustrationen, graphische Darstellungen 24 cm |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Packt |
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| spelling | Molak, Aleksander Verfasser (DE-588)1315452197 aut Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more Aleksander Molak Birmingham ; Mumbai Packt [2023] xxv, 429 Seiten Illustrationen, graphische Darstellungen 24 cm txt rdacontent n rdamedia nc rdacarrier |
| spellingShingle | Molak, Aleksander Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |
| title | Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |
| title_auth | Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |
| title_exact_search | Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |
| title_full | Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more Aleksander Molak |
| title_fullStr | Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more Aleksander Molak |
| title_full_unstemmed | Causal inference and discovery in Python - machine learning and Pearlian perspective unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more Aleksander Molak |
| title_short | Causal inference and discovery in Python - machine learning and Pearlian perspective |
| title_sort | causal inference and discovery in python machine learning and pearlian perspective unlock the secrets of modern causal machine learning with dowhy econml pytorch and more |
| title_sub | unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |
| work_keys_str_mv | AT molakaleksander causalinferenceanddiscoveryinpythonmachinelearningandpearlianperspectiveunlockthesecretsofmoderncausalmachinelearningwithdowhyeconmlpytorchandmore |