Can you describe to our audience what exactly is an interpretable ML model, and how do you contrast it to a black box model?

Let me elaborate a little bit on the previous question [laughs] before I do that.

I don't want the young people, uh, you know, who are listening to think that all of this was easy and that I just made up my mind that I was gonna do this when I was like really young.

That's not true at all.

I went through many years where I was like, "This field, it just doesn't make any sense.

I don't know why I'm in this field." Like, I was pretty depressed, and it was pretty upsetting 'cause I was like, "These black boxes are not working for me." So it's definitely hard.

It just takes a lot of work and a lot of thinking to get to the other end of it.

Got it.