Data Science @ Regensburg: Life in a Research-driven Tech Scaleup

This time @ Data Science Regensburg we welcome Signal AI’s Principal Data Scientist Dyaa Albakour. Dyaa will give us some insight into what it is like to work in a tech company that has grown from 3 to over 150 employees within a few years and which has a research-driven philosophy as one of its […]

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Introduction to active learning for classification

Active learning is, in essence, about maximizing the performance gain (of an underlying, supervised machine learning algorithm) per label. Some possible (query) strategies and the core problem emerging, being sampling bias, are discussed in the introduction to active learning. Then an effective way of circumventing it by balancing exploring and exploiting accordingly is given via […]

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Data Science Meetup

We are very pleased to announce a special edition of our Data Science Meetup that is dedicated to looking at COVID-19 from a data science perspective. Did I say “a” data science perspective? Well, it’s certainly not just one … This is again a double bill but with a twist as you will be drawn […]

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Charlie Hull

The right path to making search relevant

Charlie’s talk describes three aspects of search quality, focusing on relevance, and describes how to measure and improve it and tools for doing so.

Thursday, 2019-10-31, 18:00, H26 (VG).

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