Description
Speaker:: Prabhant Singh
Track: PyData: PyData & Scientific Libraries Stack With machine learning being used in all domains of science, reproducibility and openness is major concern for these experiments and workflows, This tutorial will discuss various experiment tracking tools and focus on OpenML for dataset, model, run, and benchmark reproducibility(via openml-python).
Recorded at the PyConDE & PyData Berlin 2022 conference, April 11-13 2022. https://2022.pycon.de More details at the conference page: https://2022.pycon.de/program/87BFX7 Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde