ML Platforms
The problem: When you start small Machine Learning team with a few projects, your experiment is done via Jupyter Notebook and maybe the notebook is in github. The notebook might contain a method to download data so it can be reproducible but it is getting harder and harder to track various experiments. We also need to make sure models does not train on corrupted / skewed data and only high quality model are pushed to production. Currently these processes are manual and not centralized nor has unified common tool. ...