Technische Universiteit Eindhoven (TUE) • Data Science
Latest uploads for Data Science at Technische Universiteit Eindhoven (TUE). Looking for Data Science notes at Technische Universiteit Eindhoven (TUE)? We have lots of notes, study guides and study notes available for Data Science at Technische Universiteit Eindhoven (TUE).
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Courses Data Science at Technische Universiteit Eindhoven (TUE)
Notes available for the following courses of Data Science at Technische Universiteit Eindhoven (TUE)
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Business Analytics JBM040 2
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Business Insights JBE140 3
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Calculus 2WBB0 1
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Data Analytics For Engineers 2IAB0 5
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Data management for data analytics JBI050 2
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Data Mining JBI030 2
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Data Mining and Machine Learning 2IIG0 1
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Data Science Research Methods JBM025 4
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Data Statistics JBM015 2
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Data Structures 2IL50 1
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Foundations Of Computing JBI020 2
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Innovation & Regulation JBL110 1
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Innovation and Regulation JBL110 1
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JBE150 1
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JM0110-M-6 1
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JM1100-M-6 1
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Language and AI JBC090 4
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Law and Data Science JBL125 4
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Linear algebra JBM075 1
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Statistical Computing JBM050 3
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Stochastics and Simulation for Finance 2DF20 1
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Visualization JBI100 1
Popular books Technische Universiteit Eindhoven (TUE) • Data Science
Tamara Munzner • ISBN 9781498759717
Ian H. Witten, Eibe Frank • ISBN 9780128042915
Council of Europe, European Union Agency for Fundamental Rights • ISBN 9789287198495
Latest notes & summaries Technische Universiteit Eindhoven (TUE) • Data Science
This is a summary of the statistical computing (JMB050) course on the Eindhoven University of Technology. It is based on the lectures in year 2019-2020 and the examples that we covered in class. Our teacher was K. Deun. It contains my notes of all the twelve lectures, with some screenshots of the slides.
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Technische Universiteit Eindhoven•Statistical Computing
Preview 4 out of 25 pages
This is a summary of the statistical computing (JMB050) course on the Eindhoven University of Technology. It is based on the lectures in year 2019-2020 and the examples that we covered in class. Our teacher was K. Deun. It contains my notes of all the twelve lectures, with some screenshots of the slides.