22ss-12.00006
Algorithmic Foundations of Datascience (VO) [22ss-12.00006]| ID | I:(DE-RON)22ss-12.00006 |
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Mathematics for machine learning
Cambridge : Cambridge University Press (2020) [10.1017/9781108679930]
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Mining of massive datasets
Cambridge : Cambridge University Press : Third edition, xi, 553 Seiten : Diagramme (2020) [10.1017/9781108684163]
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Foundations of data science
Cambridge : Cambridge University Press 1 Online-Ressource (viii, 424 Seiten : Illustrationen, Diagramme (2020) [10.1017/9781108755528]
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Matrix analysis
New York, NY : Cambridge University Press : Second edition, corrected reprint, xviii, 643 Seiten : Diagramme (2017)
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Probability and computing : randomization and probabilistic techniques in algorithms and data analysis
Cambridge : Cambridge University Press (2017)
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Artificial intelligence : a modern approach
Boston : Pearson, Prentice Hall series in artificial intelligence (2016)
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Information theory, inference, and learning algorithms
Cambridge [u.a.] : Cambridge University Press (2015)
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Understanding machine learning : from theory to algorithms
Cambridge : Cambrige University Press ([2014])
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Matrix computations
Baltimore : The Johns Hopkins University Press, Johns Hopkins studies in the mathematical sciences : Fourth edition, xxi, 756 Seiten : Diagramme (2013)
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Contribution to a book
Bounds and Algorithms for Joins via Fractional Edge Covers
In Search of Elegance in the Theory and Practice of Computation / Tannen, Val (Editor) ; Berlin, Heidelberg : Springer Berlin Heidelberg, 2013, Chapter 17 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-642-41659-0=978-3-642-41660-6 ; doi:10.1007/978-3-642-41660-6
Berlin, Heidelberg : Springer Berlin Heidelberg, Lecture Notes in Computer Science 8000, 321 - 338 (2013) [10.1007/978-3-642-41660-6_17]
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