Tag Archives: ML

Being a guest of the Data Science Phil podcast

I was interviewed for the Data Science Phil podcast. I brought three subjects for discussion: the German tank problem, capture-mark-recapture, and the Fermi problem. These are methods to estimate population sizes from very scarce data.

Asset management, but not the kind you think

We have been discussing with a colleague how it would be possible to automatically detect all potholes in large road networks. Last week at the INTERGEO exhibition, I discovered three companies which offer this service. In this market survey, I summarise what I found out about them. I returned last week from the 25th INTERGEOContinue reading “Asset management, but not the kind you think”