4 ms·

> Depends on the tradition you are coming from. Statistics :)

• bonoboTP 6y ago
  Yes, the statistics and machine learning research communities traditionally have a very different view of the world, of what is important, what is superfluous, but lately the two are more and more merging.
  • tomrod 6y ago
    Elements of Statistical Learning is a common entry point. I'd argue they are much closer than appears. As a subfield in computer science, of course the concern has often been on algorithmic complexity and similar. But that is nascency exposed, in my view, and likely not representative of a fully mature field. Armchair thought (not a historian of economics): I think Econometrics followed (and continues to follow) a similar evolution -- start with the goals (identification of model parameters, identifiability, KPIs), improve statistical validity and relevance, annotate dead ends or less common routes, continue on trucking.