Generalizing Across Categories
Humans are very good at correctly generalizing rules across categories (at
least, compared to computers). In this post I will examine mechanisms that would
allow us to do this in a reasonably rigorous
Jacob Steinhardt
Uncertain Observations
What happens when you are uncertain about observations you made? For instance,
you remember something happening, but you don't remember who did it. Or you
remember some fact you read on
Nobody Understands Probability
The goal of this post is to give an overview of Bayesian statistics as well as
to correct errors about probability that even mathematically sophisticated
people commonly make. Hopefully by the end of
Least Squares and Fourier Analysis
I ended my last post on a somewhat dire note, claiming that least squares can do
pretty terribly when fitting data. It turns out that things aren't quite as bad
as
Linear Control Theory: Part I
Last time I talked about linear control, I presented a Linear Quadratic
Regulator as a general purpose hammer for solving linear control problems. In
this post I'm going to explain why