PyData Cologne/Bonn: Kickoff

PyData CoBo

In Köln

The first talk will be given by Alexander Hendorf from Königsweg. Alex is an expert in Big Data, Data Mining and Machine Learning. As a program Chair in EuroPython, PyConDe, PyData Karlsruhe and more he is an experienced and well-known core member of the PyData Community.
The second talk is given by Dr. Florian Wilhelm, Principal Data Scientist at inovex. He works with Python tools in the field of Predictive & Prescriptive Analysis and Big Data. He will give a talk about Uncertainty quantification in deep learning.

Talk #1: Alexander Hendorf - TBA 

Talk #2: Dr. Florian Wilhelm - Uncertainty quantification in deep learning
With the advent of Deep Learning (DL), the field of AI made a giant leap forward and it is nowadays applied in many industrial use-cases. Especially critical systems like autonomous driving, require that DL methods not only produce a prediction but also state the certainty about the prediction in order to assess risks and failure.
In my talk, I will give an introduction to different kinds of uncertainty, i.e. epistemic and aleatoric. To have a baseline for comparison, the classical method of Gaussian Processes for regression problems is presented. I then elaborate on different DL methods for uncertainty quantification like Quantile Regression, Monte-Carlo Dropout, and Deep Ensembles. The talk is concluded with a comparison of these techniques to Gaussian Processes and the current state of the art.

Infos und Anmeldung: 

Location: inovex GmbH, Schanzenstraße 6-20, Kupferhütte 1.13, 51063 Köln 

Die Teilnahme am Meetup ist kostenlos.

Anmeldungen bitte über die Meetup-Seite.

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