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Data Engineering Day
12.07.2021
Der Data Engineering Day wird jährlich durchgeführt für die Student*innen des BSc Informatik mit Vertiefung Data Engineering sowie für die Student*innen des MSc Engineering mit Vertiefung Data Science.
Dieses Jahr haben ausgewählte weltweite und lokale Expert*innen zum Thema «Applied Machine Learning» Referate gehalten und im Anschluss die Fragen der Student*innen beantwortet
Intro: Towards Machine Learning in Practice: Challenges, Approaches & Visions
Erik Graf, Professor Bern University of Applied Sciences (Switzerland)
A self-learning taxonomy at the core
Janna Lipenkova, Co-Founder Equintel (Germany)
What you sense is what you search
Hideo Joho, Professor University of Tsukuba (Japan)
Insel Data Science
Violeta Vogel, Head of Data Science Inselspital University Hospital (Switzerland)
Benjamin Ellenberger, Data Scientist Inselspital University Hospital (Switzerland)
Bridging the Gap / From Data Science to Production
Florian Wilhelm, Head of Data Science inovex AG (Germany)
Towards AI-powered Enterprise Applications (TBC)
Pablo Gonzalvez Garcia, Director of Engineering cortical.io (USA)
Developing a Machine Learning model for Unbalanced Data and Deploying it to Production
Stavros Zervoudakis, Professor NYU ; Head of Data Science Mutual of America (USA)
Human-Centered AI (Automation versus collaboration)
Werner Geyer, Senior Research Manager - AI Interaction IBM (UK)
