# Normalization

Damn I am so proud of myself, I came up with this formula myself. $x$ is a vector. I think this is use in ML?

$x_{normalized}=max(x)−min(x)x−min(x) $

There is a simpler way to normalize, which is $x=∑x_{i}x_{i} $

I have also seen from here $x_{normalized}=max(x)x $

Multinomial Distribution → Multinomial probability distribution