7–10 Dec 2021
https://gather.town/app/nkxyTbuI84smfiQk/HMC-Workshop-Lounge?spawnToken=5FXA4rxNFkYpM8tB
Europe/Berlin timezone

Teaching An Introduction to Machine Learning to 40 or more students

8 Dec 2021, 11:00
30m
https://gather.town/app/nkxyTbuI84smfiQk/HMC-Workshop-Lounge?spawnToken=5FXA4rxNFkYpM8tB

https://gather.town/app/nkxyTbuI84smfiQk/HMC-Workshop-Lounge?spawnToken=5FXA4rxNFkYpM8tB

Talk Experience exchange Wednesday

Speaker

Peter Steinbach (HZDR)

Description

In this talk, I'd like to report on recent attempts to teach an introductory course to PhD students, master students and postdocs in order to teach them Machine Learning. I hope to summarize our approach and share insights based on empirical data from learner feedback surveys. We used an inverted classroom approach as pioneered by i2ml of Heidi Seibold, Bernd Bischl et al. For the introduction to Deep Learning that is part of this curriculum, we took inspiration from a carpentries' incubator project on the same topic.

Preferred time slot length 30 minutes

Primary author

Presentation materials