This week, I will give a talk at the SCOR Foundation for Science webinar (slides are available online). and I was asked to give a talk on econometrics vs IA (or machine learning),
Of course, the two concepts are related, and there is a continuum between them.
As we wrote it Charpentier et al. (2017)
Econometrics and machine learning seem to have one common goal: to construct a predictive model, for a variable of interest, using explanatory variables (or features).
For the purposes of this presentation, we will begin by contrasting the two, emphasizing the differences, and then showing the connections that exist.
Long story short, in between, we have computation statistics, or statistical learning, corresponding to computational techniques with mathematical probabilistic guarantees.
Continue reading SCOR Foundation for Science Webinar, ML and Econometrics