- Standort
-
Hannover TIB
- Umfang
-
33MB, 00:19:46:05 (unknown)
- Sprache
-
Englisch
- Anmerkungen
-
Audiovisuelles Material
- Erschienen in
-
EuroPython 2014 ; Vol. 40, (Jan. 2014)
- Schlagwort
-
EuroPython Conference
EuroPython 2014
EP 2014
- Ereignis
-
Veröffentlichung
- (wer)
-
EuroPython
- (wann)
-
2014-01-01
- Beteiligte Personen und Organisationen
-
Strathmann, Heiko
- DOI
-
10.5446/19980
- Letzte Aktualisierung
-
04.12.2024, 08:09 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- zweidimensionales bewegtes Bild
Beteiligte
- Strathmann, Heiko
- EuroPython
Entstanden
- 2014-01-01
Ähnliche Objekte (12)
Machine Learning for Everyone
Machine Learning Under Test
Painless Machine Learning in Production
Machine Learning: Power of Ensembles
Machine Learning for dummies with Python
Real Time Machine Learning with Python
From linear algebra to machine learning
Diffprivlib: Privacy-preserving machine learning with Scikit-learn: Train machine learning models with differential privacy guarantees
Corona-Net: Fighting COVID-19 with Machine Learning
When to use Machine Learning: Tips, Tricks and Warnings
Explaining behavior of Machine Learning models with eli5 library
Industrial Machine Learning: Horizontally scalable Data Pipelines with Airflow
Machine Learning for Everyone
Machine Learning Under Test
Painless Machine Learning in Production
Machine Learning: Power of Ensembles
Machine Learning for dummies with Python
Real Time Machine Learning with Python
From linear algebra to machine learning
Diffprivlib: Privacy-preserving machine learning with Scikit-learn: Train machine learning models with differential privacy guarantees
Corona-Net: Fighting COVID-19 with Machine Learning
When to use Machine Learning: Tips, Tricks and Warnings
Explaining behavior of Machine Learning models with eli5 library
Industrial Machine Learning: Horizontally scalable Data Pipelines with Airflow
Machine Learning for Everyone
Machine Learning Under Test
Painless Machine Learning in Production
Machine Learning: Power of Ensembles
Machine Learning for dummies with Python
Real Time Machine Learning with Python
From linear algebra to machine learning
Diffprivlib: Privacy-preserving machine learning with Scikit-learn: Train machine learning models with differential privacy guarantees
Corona-Net: Fighting COVID-19 with Machine Learning
When to use Machine Learning: Tips, Tricks and Warnings
Explaining behavior of Machine Learning models with eli5 library