Vincent Warmerdam
Vincent D. Warmerdam is a software developer and senior data person. He’s currently works over at Explosion to work on data quality tools for developers. He’s also known for creating calmcode.io as well as a bunch of open source projects. You can check out his blog over at koaning.io to learn more about those.
Sessions
Are you 100% sure that you can trust your labels?
Imagine spending a company credit card worth of compute on getting the best model statistics ever. Would that be money well spent if your dataset has some labeling issues?
More often than not, "bad labels" are great because they can tell you how to improve the machine learning model before even training it. But it only works only if you actually spend the time being confronted with your own dataset. In this workshop, we'll annotate our own data while we leverage techniques to find happy accidents. To solve specific problems, you don't need loads of data anymore – you just need good data.