Proposed TSSD study group goals
Hi all,
Based on some of the insights we are getting from the Earthquakes competition, I think it’s a good time to start a discussion on what the ultimate goals of this TS projects should be.
I can share what I’d personally like to achieve, but please feel free to challenge, add your goals, agree, etc.
Goals:
- Identify a series of proven, reproducible, state of the art techniques with TS data that can be used on other datasets in the real world (this is what we can achieve with competitions)
- Generate and test new ideas to improve the current state of the art.
- Create a notebook/ collection of notebooks containing identified best practices.
- Develop the TSSD study group members expertise in this area.
Stretch goals:
- Maintain/ increase community of people interested in TSSD beyond this course.
- If we can generate a solid notebook/s with best practices in this area, we could propose an expansion of the current fastai library to add time series. Now there are 4 applications: vision, text, tabular and collaborate. I don’t know if Jeremy would be interested in adding time series to the list. In that way TS best practices/ state of the art techniques could be applied with fastai out of the box.
Please, let me know your thoughts.