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MECH-M-DUAL-1-DBM - Grundlagen datenbasierter Methoden

appsOther research productkeyboard_double_arrow_right InteractiveResource 16 Jan 2025Publisher:Zenodo
Authors: Kandolf, Peter;

doi: 10.5281/zenodo.14671709 , 10.5281/zenodo.14671708 , 10.5281/zenodo.15756526 , 10.5281/zenodo.18900618 , 10.5281/zenodo.14697280

MECH-M-DUAL-1-DBM - Grundlagen datenbasierter Methoden

Abstract

Course material for a ~3 * 15 hours (5 ECTS) course on basic concepts for data science. All the topics are presented with the Python implementation included. We cover matrix decompositions, regression, signal processing, sparsity and compressed sensing and a bit of statistics.

Keywords

matrix decompositions, regression, data science, matrix computations, signal processing, Python

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average