From the mailbag, reader I.W. writes: Dear Professor, I represent social science (but of a priori bent), and I recently got really hooked on frequentialism. After all, prof. Mises employed it as […]
As has been our tradition these many years, it’s time to register our predictions for the coming year. We look at how well we did last year later this week. (As early […]
There is ancient wisdom in the phrase never believe your own press that computer scientists have laid aside in their quest to discover “artificial” “intelligence”. In the Axios article “Artificial intelligence pioneer […]
The internet is a cauldron of competing ideas. The ones that get the most play are promoted by the legacy media. Under the surface, there are a swarm of websites that hawk […]
Regular readers will notice the weekly Doom pieces are becoming slightly dated. This is because there is so much doom in any week I can’t fit all of the week’s doom into […]
Review! We’re continuing with the CGPA example. The data is on line, and of unknown origin, but good enough to use as an example. We will build a correlational model, keeping ever […]
Read Our Intellects Are Not Computers: The Abacus As Brain Part I first. Machines can learn, all right. But they can’t learn like us. Machines cannot apprehend universals, ideas of truth and […]
Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! Last time we completed […]
Recent Comments