|
111 |
Data-driven protein engineering
Siedhoff, Niklas. - Aachen, [2024]
|
|
|
|
112 |
Data science and reliable machine learning
CODASSCA (Veranstaltung (4. : 2024 : Jerewan). - Berlin : Logos Verlag Berlin, 2024
|
|
|
|
113 |
Data science training - supervised learning
Selle, Stefan. - Berlin, Germany : Springer Vieweg, [2024]
|
|
|
|
114 |
Data Science und AI
Oettinger, Michael. - Ahrensburg : tredition, 2024, 3. Auflage
|
Ankündigung
|
|
|
115 |
Data Science und AI
Oettinger, Michael. - Ahrensburg : tredition, 2024, 3. Auflage
|
Ankündigung
|
|
|
116 |
Data Science: Experiment, Validate, Collaborate
Chopra, Shobha Srinivasan. - Ahrensburg : tredition, 2024
|
Ankündigung
|
|
|
117 |
Datengetriebene Strukturierung von NC-Zerspanprozessen
Ochel, Janis. - Aachen : Apprimus Verlag, 2024, 1. Auflage
|
|
|
|
118 |
[Rule(s) of recommendation: what the making of a recommender system can tell us about the difficult relation between social order and machine learning]
Democratic algorithms: ethnography of a public recommender system
Poechhacker, Nikolaus. - Lüneburg : meson press eG, 2024
|
|
|
|
119 |
Development of new high-throughput approaches for machine-learning applications
Koswig, Timo. - Jena, [2024?]
|
|
|
|
120 |
Digital transformation in healthcare 5.0 / Volume 2. Metaverse, nanorobots and machine learning
[2024]
|
|
Administration
