🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science

Are you talking about introducing explicit priors that, you know, she based upon some human intuition or maybe in this case, LOM intuition?. A predictive model is like, let's say you just have a, you have some inputs and you have some outputs and you just, I just want to build a piece of code that tries to just have the lowest error rate on some data set.

It goes beyond the title with direct discussion of like, sort, it's, including: When you talk about multiple hypothesis testing, right, there's predictive models and there's descriptive models.

1. 01When you talk about multiple hypothesis testing, right, there's predictive models and there's descriptive models
2. 02A predictive model is like, let's say you just have a, you have some inputs and you have some outputs and you just, I just want to build a piece of code that tries to just have the
3. 03A descriptive model is actually what science is trying to get to, which is, okay, it should be able to extrapolate because it has sort of the physics or the actual some description