James Cooper

Many people think any given ML project is 99% training. In reality, it’s 50% evaluation, 40% data cleaning, 8% integration, and 2% training. The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as that’s the optimal bound of Shannon encoding of your data. Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.

Never thought I’d ever see the day the EU parliament chanted “Send them back”. Europe has reached a clear turning point on migration. Public frustration with illegal immigration and failed deportations has now translated into decisive political action.

Day 1 of finding trillionaires