Basic Notions and Applied Topology Seminar
Computer science Mathematics
Dioscuri Centre in Topological Data Analysis / Gdańsk University of Technology / Institute of Mathematics, Polish Academy of Sciences / University of Gdańsk
| Audience: | General audience |
| Seminar series time: | Monday 11:30-13:30 in your time zone, UTC |
| Organizer: | Julian Brüggemann |
| Curator: | John Rick* |
| *contact for this listing |
Upcoming talks
Past talks
| Your time | Speaker | Title | |||
|---|---|---|---|---|---|
| Mon | Dec 15 | 11:30 | Jan Senge | Introduction to Resampling Methods in Machine Learning | |
| Mon | Jan 12 | 11:30 | Mateusz Masłowski | Linear Model Selection and Regularization (Part 1) | |
| Mon | Jan 19 | 11:30 | Jacek Gulgowski | Linear Model Selection and Regularization (Part 2) | |
| Mon | Feb 02 | 11:30 | Jacek Gulgowski | Moving Beyond Linearity | |
| Mon | Feb 09 | 11:30 | Marta Marszewska | Tree-Based Methods | |
| Mon | Feb 16 | 11:30 | Jan Senge | Support Vector Machines | |
| Mon | Feb 23 | 11:30 | Jakub Malinowski | Deep Learning (Part 1) | |
| Mon | Mar 02 | 11:30 | Jakub Malinowski | Deep Learning (Part 2) | |
| Mon | Mar 09 | 11:30 | Sylwester Piątek | Survival Analysis and Censored Data | |
| Mon | Mar 16 | 11:30 | Janusz Przewocki | Unsupervised Learning (Part 1) | |
| Your time | Speaker | Title | |||
|---|---|---|---|---|---|
| Mon | Dec 01 | 11:30 | John Rick Manzanares | Introduction to Classification in Machine Learning | |
| Mon | Nov 17 | 11:30 | Clemens Bannwart | Morse-Smale vector fields: definition, properties and induced structures | |
| Mon | Nov 03 | 11:30 | Michał Bogdan | Linear Regression in Practice | |
| Mon | Oct 27 | 11:30 | Iason Papadopoulos | Multiparameter Persistence | |
| Mon | Oct 20 | 10:30 | Michał Bogdan | Introduction to the Theory of Linear Regression | |
| Mon | Oct 13 | 10:30 | Julian Brüggemann | Introduction to Statistical Learning | |
| Mon | Oct 06 | 10:30 | Justyna Signerska-Rynkowska | Dynamical and geometrical mechanism shaping response precision in neuron models | |
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