Time | Talk |
---|---|
09:00 - 09:50 | Introduction to OpenML |
10:00 - 10:50 | OpenML in Python (Tutorial) |
11:00 - 12:00 | OpenML Use cases |
Time | Topic |
---|---|
14:00 - 14:50 | Sharing datasets and tasks |
15:00 - 15:50 | Building and sharing machine learning models |
16:00 - 16:50 | Machine learning challenge |
16:50 - 17:00 | Conclusions |