Full logo and visualisation of team-driven data analysis

Survey results

In the summer semester 2020 and winter semester 2020/2021, we surveyed students of the University of Regensburg on Artificial Intelligence, Machine Learning and Big Data. The answers are now online!

To the results

Who we are

Knowledge creates² Data is a project at Universität Regensburg. It combines research efforts in Big Data, Artificial Intelligence and machine learning across all faculties.

Machine learning in enterprises

A growing number of companies in the Regensburg area optimize and enhance their productivity by using Artificial Intelligence – in conjunction with the universities of Regensburg.

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 […]

Read MoreIntroduction to active learning for classification

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 […]

Read MoreData Science Meetup

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).

[…]

Read MoreCharlie Hull