[AMR] Notes in various sections

electives/amr/parts/00_basics/00_probability.tex

@@ -20,3 +20,5 @@ e.g. $\sum_{X} \P(X) = 1$ becomes $\int \P(x) \dx = 1$
 PDF: $f(\vec{x}) = \frac{1}{\sqrt{(2\pi)^k \det(\mat{\Sigma})}} \text{exp}\left( -\frac{1}{2}(\vec{x} - \vec{\mu})^\top \mat{\Sigma}^{-1} (\vec{x} - \vec{\mu}) \right)$
 
 $\Sigma^{-1}$ for $\Sigma$ diagonal, inverse of diag els (e.g. $\sigma^{-1}$)
+
+\hl{Always Normalize (i.e. sum of all probabilities is 1)}