Vincent Warmerdam
Vincent is a senior data professional who worked as an engineer, researcher, team lead, and educator in the past. He's especially interested in understanding algorithmic systems so that one may prevent failure. As such, he prefers simpler solutions that scale, as opposed to the latest and greatest from the hype cycle.
You may know him from his koaning.io blog, his many open source projects, some of his PyData talks, or his calmcode.io project.
He's also known for giving helpful advice for free, so please feel free to talk to him if you have an interesting data problem.
Sessions
Let's say you've to some unlabelled data and you want to train a classifier. You need annotations before you can model, but because you're time-bound you must stay pragmatic. You only have an afternoon to spend. What would you do?