| 1. |
Wang, Lijing: Data science for the geosciences / Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Stanford University, California)… . -
Cambridge ; New York, NY ; Port Melbourne, VIC ; New Delhi ; Singapore: Cambridge University Press, 2024. - xiii, 244 Seiten, 8 ungezählte Seiten Bildtafeln : Illustrationen, Diagramme, ISBN 978-1-009-20141-4
 Buch/keine Angabe |
Signatur: UBN/TG 1111 W246
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| 2. |
High performance computing and artificial intelligence for geosciences / editors Yuzhu Wang, Jinrong Jiang, Yangang Wang. -
Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023. - 1 Online-Ressource (vii, 178 Seiten) : Illustrationen, Diagramme, Karten, ISBN 978-3-0365-8181-1
 Online-Ressource |
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| 3. |
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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| 4. |
Petrelli, Maurizio: Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning / by Maurizio Petrelli. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XV, 229 p. 112 illus., 104 illus. in color.), ISBN 978-3-030-78055-5
(Springer Textbooks in Earth Sciences, Geography and Environment)
(Springer eBook Collection)
DOI: 10.1007/978-3-030-78055-5
Online-Ressource |
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| 5. |
Distribution theory : principles and applications / edited by Fozia Homa (PhD), Mukti Khetan (PhD), Mohd. Arshad (PhD), Pradeep Mishra (PhD). - First edition. -
Palm Bay, FL ; Burlington, ON: Apple Academic Press, 2024. - xvi, 249 Seiten : Illustrationen, Diagramme, ISBN 978-1-77491-214-0
Buch/keine Angabe |
Signatur: WS/SK 835 H763
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| 6. |
Petrelli, Maurizio: Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / Maurizio Petrelli. -
Cham, Switzerland: Springer, [2021]. - xv, 229 Seiten : Illustrationen, Diagramme, ISBN 978-3-030-78054-8
(Springer textbooks in earth sciences, geography and environment)
(Springer textbook)
Buch/keine Angabe |
Signatur: UBN/TG 1112 P494
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| 7. |
Pressé, Steve: Data modeling for the sciences : applications, basics, computations / Steve Pressé (Arizona State University), Ioannis Sgouralis (University of Tennesse). -
Cambridge ; New York, NY ; Port Melbourn VIC ; New Delhi ; Singapore: Cambridge University Press, 2023. - xv, 415 Seiten : Diagramme, ISBN 978-1-009-09850-2
DOI: 10.1017/978100908502
Buch/keine Angabe |
ausleihbar  Signatur: 2023 A 9865
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| 8. |
Gutman, Alex J.: Werde ein Data Head : Data Science, Machine Learning und Statistik verstehen und datenintensive Jobs meistern / Alex J. Gutman, Jordan Goldmeier ; deutsche Übersetzung von Jørgen W. Lang. - 1. Auflage. -
[Heidelberg]: O'Reilly, 2022. - 265 Seiten : Illustrationen, ISBN 978-3-96009-191-2
Buch/keine Angabe |
Signatur: LN-U 10-19688
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| 9. |
Vershynin, Roman: High-dimensional probability : an introduction with applications in data science / Roman Vershynin, University of California, Irvine. -
Cambridge ; New York, NY ; Port Melbourne, VIC ; New Delhi ; Singapore: Cambridge University Press, 2018. - xiv, 284 Seiten : Illustrationen, Diagramme, ISBN 978-1-108-41519-4
(Cambridge series in statistical and probabilistic mathematics ; 47)
DOI: 10.1017/9781108231596
Buch/keine Angabe |
Signatur: UBN/SK 800 V563
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| 10. |
Advanced Remote Sensing for Urban and Landscape Ecology / edited by Sk. Mustak, Dharmaveer Singh, Prashant Kumar Srivastava. - 1st ed. 2023.. -
Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(XIII, 317 p. 153 illus., 129 illus. in color.), ISBN 978-981-9930-06-7
(Advances in Geographical and Environmental Sciences)
DOI: 10.1007/978-981-99-3006-7
Online-Ressource |
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| 11. |
Marx, Ramin: Algorithms for imaging atmospheric Cherenkov telescopes / put forward by Ramin Marx ; referees: Prof. Dr. Peter Fischer, Prof. Dr. Werner Hofmann. -
Heidelberg, [2021?]. - 205 Seiten : Illustrationen, Diagramme
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| 12. |
Matloff, Norman S.: Probability and statistics for data science : Math + R + Data / Norman Matloff. -
Boca Raton ; London ; New York: CRC Press, Taylor & Francis Group, [2020]. - xxxii, 412 Seiten : Diagramme, ISBN 978-1-138-39329-5
(Chapman & Hall/CRC data science series)
(A Chapman & Hall book)
Buch/keine Angabe |
Signatur: UBN/ST 601 M433
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| 13. |
Ng, Annalyn: Data Science - was ist das eigentlich?! : Algorithmen des maschinellen Lernens verständlich erklärt / Annalyn Ng, Kenneth Soo ; aus dem Englischen übersetzt von Matthias Delbrück. -
Berlin ; [Heidelberg]: Springer, [2018]. - Online-Ressource (XXI, 179 Seiten) : Illustrationen, ISBN 978-3-662-56776-0
(SpringerLink : Bücher)
(Springer eBook Collection)
DOI: 10.1007/978-3-662-56776-0
Online-Ressource |
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| 14. |
Dependence in probability and statistics : a survey of recent results (Oberwolfach, 1985) / Ernst Eberlein; Murad S. Taqqu, eds.. -
Boston ; Stuttgart [u.a.]: Birkhäuser, 1986. - XI, 473 S., ISBN 978-0-8176-3323-3
(Progress in probability and statistics ; 11)
Buch/keine Angabe |
Präsenznutzung
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| 15. |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics / edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVII, 281 p. 146 illus., 129 illus. in color.), ISBN 978-3-031-19845-8
(Springer Proceedings in Earth and Environmental Sciences)
DOI: 10.1007/978-3-031-19845-8
Online-Ressource |
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| 16. |
Marx, Ramin: Algorithms for imaging atmospheric Cherenkov telescopes / put forward by Ramin Marx ; referees: Prof. Dr. Peter Fischer [und ein weiterer Gutachter]. -
Heidelberg, 11 Mrz. 2022. - 1 Online-Ressource (205 Seiten)
DOI: 10.11588/heidok.00031260
Online-Ressource |
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| 17. |
Aggarwal, Charu C.: Neural Networks and Deep Learning : A Textbook / by Charu C. Aggarwal. - 2nd ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XXIV, 529 p. 150 illus., 22 illus. in color.), ISBN 978-3-031-29642-0
DOI: 10.1007/978-3-031-29642-0
Online-Ressource |
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| 18. |
Plaue, Matthias: Data Science : an introduction to statistics and machine learning / Matthias Plaue. -
Berlin ; [Heidelberg]: Springer, [2023]. - XXIV, 361 Seiten : Illustrationen, ISBN 978-3-662-67881-7
Buch/keine Angabe |
Signatur: LN-U 10-19911
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| 19. |
Nazarathy, Yoni: Statistics with Julia : Fundamentals for Data Science, Machine Learning and Artificial Intelligence / by Yoni Nazarathy, Hayden Klok. -
Cham: Springer, 2021. - 1 Online-Ressource (XII, 527 p. 148 illus., 130 illus. in color.), ISBN 978-3-030-70901-3
(Springer eBook Collection)
(Springer Series in the Data Sciences)
DOI: 10.1007/978-3-030-70901-3
Online-Ressource |
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| 20. |
Ehteram, Mohammad: Estimating Ore Grade Using Evolutionary Machine Learning Models / by Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, Maliheh Abbaszadeh. - 1st ed. 2023.. -
Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(XIII, 101 p. 45 illus., 39 illus. in color.), ISBN 978-981-19-8106-7
DOI: 10.1007/978-981-19-8106-7
Online-Ressource |
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