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| + | <p>Python Course on <br> | ||
| + | Topological Methods in Data Analysis<br> | ||
| + | Heidelberg University </p> | ||
| + | <p> October 26th - 28th <br> | ||
| + | Mathematikon and Zoom <br> </p> | ||
| + | </h3> | ||
| + | <div style="text-align:center"> | ||
| + | <i> | ||
| + | <b>Abstract:</b> | ||
| + | In this twelve-hour workshop the participants will be introduced to the main techniques utilized in topological data analysis and their implementation provided by the python package scikit-tda. Introductions to the Mapper algorithm and persistent homology will be complemented by respective hands-on tutorial sessions. The workshop will conclude with an exploratory project of these methods on ‘real data’, which may be provided by the participants. | ||
| + | </i> | ||
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| + | More information on the [https://micbl.github.io/TDAworkshop/ course website] | ||
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Revision as of 16:53, 11 October 2020
Python Course on
Topological Methods in Data Analysis
Heidelberg University
October 26th - 28th
Mathematikon and Zoom
Topological Methods in Data Analysis
Heidelberg University
Mathematikon and Zoom
Abstract: In this twelve-hour workshop the participants will be introduced to the main techniques utilized in topological data analysis and their implementation provided by the python package scikit-tda. Introductions to the Mapper algorithm and persistent homology will be complemented by respective hands-on tutorial sessions. The workshop will conclude with an exploratory project of these methods on ‘real data’, which may be provided by the participants.
More information on the course website