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Nuutti Sten: Python for explainable, reproducible and applicable machine learning

Abstract: What is explorative programming? What are tidy principles? How do you create a dynamical machine learning workflow?

FCAI partner city of Helsinki has been ranked one of the most advanced cities in the world with regard to digitalization. The city does novel work on applied AI to create proactive services for a more functional city and sustainable growth. Open source, explainability and reproducibility and applicability are cornerstones for ethical AI. In this talk, I will explain how to apply these concepts for effective machine learning research using standard Python tools.

Speakers:  Nuutti Sten

Affiliation: City of Helsinki

Place of Seminar:  Zoom

Meeting ID: 624 1249 4245

Passcode: 698407

Earlier Event: October 4
Joni Pajarinen: Reinforcement learning using Monte Carlo tree search and self-paced curriculum reinforcement learning
Later Event: October 12
NVAITC Webinar Series on AI Applications in Computational Sciences: Session 5 - AI Meets Nuclear Fusion