| 1. |
Knecht, Volker: AI for physics / Volker Knecht. - First edition. -
Boca Raton ; London ; New York: CRC Press, 2023. - 1 Online-Ressource (XVIII, 129 Seiten) : Illustrationen, ISBN 978-1-003-24518-6
(AI for everything)
DOI: 10.1201/9781003245186
 Online-Ressource |
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| 2. |
Machine Learning under Resource Constraints : Applications / edited by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer. -
Berlin ; Boston: De Gruyter, 2022. - 1 Online-Ressource (VIII, 470 Seiten), ISBN 978-3-11-078598-2
(De Gruyter STEM)
(Machine Learning under Resource Constraints ; Volume 3)
DOI: 10.1515/9783110785982
Online-Ressource |
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| 3. |
Tanaka, Akinori: Deep Learning and Physics / Akinori Tanaka, Akio Tomiya, Koji Hashimoto. -
Singapore: Springer, [2021]. - 1 Online-Ressource (XIII, 207 Seiten) : Illustrationen, Diagramme, ISBN 978-981-336-108-9
(Springer eBook Collection)
(Mathematical Physics Studies)
DOI: 10.1007/978-981-33-6108-9
Online-Ressource |
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| 4. |
Machine Learning under Resource Constraints : Discovery in Physics / edited by Katharina Morik, Wolfgang Rhode. -
Berlin ; Boston: De Gruyter, 2022. - 1 Online-Ressource (XIV, 349 Seiten), ISBN 978-3-11-078596-8
(Machine Learning under Resource Constraints ; Volume 2)
(De Gruyter STEM)
DOI: 10.1515/9783110785968
Online-Ressource |
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| 5. |
Reinoso, Bastián: Formation of massive black hole seeds through runaway stellar collisions and gas accretion in dense stellar systems / put forward by Bastián Alejandro Reinoso Reinoso ; referees: Prof. Dr. Ralf Klessen, Prof. Dr. Miche… . -
Heidelberg, 16 Mai 2024. - 1 Online-Ressource (xviii, 215 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00034753
Online-Ressource |
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| 6. |
Tanaka, Akinori: Deep learning and physics / Akinori Tanaka, Akio Tomiya, Koji Hashimoto. -
Singapore: Springer, [2021]. - xiii, 207 Seiten : Illustrationen, Diagramme, ISBN 978-981-336-107-2
(Mathematical physics studies)
DOI: 10.1007/978-981-33-6108-9
 Buch/keine Angabe |
Präsenznutzung
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| 7. |
Beutel, Moritz: Stochastic and deterministic methods for simulating the evolution of solid bodies in protoplanetary disks / vorgelegt von Karl Moritz Beutel, M.Sc. ; advisors: Prof. Dr. Robert Strzodka, Institut für Technisc… . -
Heidelberg, 07 Mai 2024. - 1 Online-Ressource (242 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00034794
Online-Ressource |
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| 8. |
Ivezić, Željko: Statistics, data mining, and machine learning in astronomy : a practical Python guide for the analysis of survey data / Željko Ivezić .... -
Princeton, N.J. [u.a.]: Princeton Univ. Press, [2014]. - X, 540 S. : Ill., graph. Darst., ISBN 978-0-691-15168-7
(Princeton series in modern observational astronomy)
Buch/keine Angabe |
Signatur: UBN/US 1550 I95
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| 9. |
Communications de la Faculté des Sciences de l'Université d'Ankara. 2 3 Physics, engineering physics, electronics/computer engineering, astronomy and geophysics / Faculty of Sciences, University of Ankara. -
Ankara: Ankara University Press, 1986-. - Online-Ressource, ISSN 1303-6009
35.1986 -
Online-Ressource  Zeitschrift |
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| 10. |
Labaca Castro, Raphael: Machine Learning under Malware Attack / by Raphael Labaca Castro. - 1st ed. 2023.. -
Wiesbaden: Springer Fachmedien Wiesbaden, 2023.. - 1 Online-Ressource(XXXIV, 116 p. 18 illus. Textbook for German language market.), ISBN 978-3-658-40442-0
DOI: 10.1007/978-3-658-40442-0
Online-Ressource |
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| 11. |
Murphy, Kevin P.: Probabilistic machine learning : advanced topics / Kevin P. Murphy. -
Cambridge, Massachusetts ; London, England: The MIT Press, [2023]. - xxxi, 1319 Seiten : Illustrationen, Diagramme, ISBN 978-0-262-04843-9
(Adaptive computation and machine learning)
Buch/keine Angabe |
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| 12. |
Yao, Kan: Nanophotonics and machine learning : concepts, fundamentals, and applications / Kan Yao, Yuebing Zheng. -
Cham: Springer, 2023. - 1 Online-Ressource (XII, 178 Seiten), ISBN 978-3-031-20473-9
(Springer series in optical sciences ; volume 241)
DOI: 10.1007/978-3-031-20473-9
Online-Ressource |
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| 13. |
Beutel, Moritz: Stochastic and deterministic methods for simulating the evolution of solid bodies in protoplanetary disks / vorgelegt von Karl Moritz Beutel, M. Sc. ; advisors: Prof. Dr. Robert Strzodka, Institut für Technis… . -
Heidelberg, [2024?]. - ix, 225 Seiten : Illustrationen, Diagramme
Buch/keine Angabe |
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| 14. |
Angelo Secchi and Nineteenth Century Science : The Multidisciplinary Contributions of a Pioneer and Innovator / Ileana Chinnici, Guy Consolmagno (editors). -
Cham: Springer, [2021]. - 1 Online-Ressource (XXVIII, 381 Seiten) : Illustrationen, Diagramme, ISBN 978-3-030-58384-2
(Historical & Cultural Astronomy)
(Springer eBook Collection)
DOI: 10.1007/978-3-030-58384-2
Online-Ressource |
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| 15. |
Reinoso, Bastián: Formation of massive black hole seeds through runaway stellar collisions and gas accretion in dense stellar systems / put forward by Bastián Alejandro Reinoso Reinoso ; referees: Prof. Dr. Ralf Klessen, Prof. Dr. Miche… . -
Heidelberg, [2024?]. - xviii, 215 Seiten : Illustrationen, Diagramme
Buch/keine Angabe |
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| 16. |
Chen, Falin: How humankind created science : from early astronomy to our modern scientific worldview / Falin Chen, Fang-Tzu Hsu. -
Cham, Switzerland: Springer, [2020]. - 1 Online-Ressource (XXVI, 582 Seiten) : 85 Illustrationen, ISBN 978-3-030-43135-8
(Springer eBook Collection)
DOI: 10.1007/978-3-030-43135-8
Online-Ressource |
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| 17. |
Jacobucci, Ross: Machine learning for social and behavioral research / Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang. -
New York ; London: The Guilford Press, [2023]. - xvi, 416 Seiten : Illustrationen, Diagramme, ISBN 978-1-4625-5292-4
(Methodology in the social sciences)
Buch/keine Angabe |
ausleihbar  |
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| 18. |
Petrelli, Maurizio: Machine Learning for Earth Sciences : Using Python to Solve Geological Problems / by Maurizio Petrelli. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVI, 209 p. 102 illus., 99 illus. in color.), ISBN 978-3-031-35114-3
(Springer Textbooks in Earth Sciences, Geography and Environment)
DOI: 10.1007/978-3-031-35114-3
Online-Ressource |
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| 19. |
Keck, Thomas: Machine Learning at the Belle II Experiment : The Full Event Interpretation and Its Validation on Belle Data / by Thomas Keck. -
Cham: Springer International Publishing, 2018. - Online-Ressource (XI, 174 p. 84 illus., 16 illus. in color, online resource), ISBN 978-3-319-98249-6
(Springer Theses, Recognizing Outstanding Ph.D. Research)
(Springer eBook Collection)
(SpringerLink : Bücher)
DOI: 10.1007/978-3-319-98249-6
Online-Ressource |
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| 20. |
Géron, Aurélien: Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme / Aurélien Géron ; deutsche Übersetzung von Kristian Rother & Thomas Demmig. - 3., aktualisierte und erweiterte Auflage. -
Heidelberg: O'Reilly, 2023. - 876 Seiten : Illustrationen, Diagramme, ISBN 978-3-96009-212-4
Buch/keine Angabe |
Signatur: LN-U 10-18726::(3)
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