Day 4 Discussion
On day 4, we learned about quantifying and communicating uncertainty. Today we will consider how to quantify uncertainty and communicate it for the Space problem and reflect on what we have learned throughout the week.
Please have one of your team members reply in the comments to to each of these questions after discussing them with the team. If you have not commented on the posts from the previous days, please add your thoughts there as well.
Here are the Space Weather Jupyter notebooks:
- More beginner oriented: https://github.com/ai2es/tai4es-trustathon-2022/blob/main/space/magnet_lstm_tutorial.ipynb
- More advanced user oriented: https://github.com/ai2es/tai4es-trustathon-2022/blob/main/space/magnet_cnn_tutorial.ipynb
The TAI4ES Space GitHub Readme page is here.
- Building on what we covered in the lecture today, how would you quantify uncertainty for your model? And how would you communicate that uncertainty to your end user?
- We’ve covered a lot in the summer school, take some time to reflect on what stood out to you and what really resonated. Take some time to think about what you all learned, what you still want to learn, and where you’re going from here.