Math
This is my extended brain for math
Mastering the Softmax Function: Understanding its Derivative with a Step-by-Step Example
Mastering the Softmax Function: Understanding its Derivative with a Step-by-Step Example This article focuses on obtaining the derivative of the softmax function by means of a simple example. It assumes
Maximum Likelihood Estimation
The method of maximum likelihood estimation allows to estimate point parameters for a given distribution underlying some observed data. Let’s look at an example to understand what this means:Imagine you
How to create a random variable with a Beta distribution from scratch, using only Uniform random variables
You can use software, like scipy.stats.beta if you want to sample from a Beta distribution. But you can also create a Beta distribution yourself — from scratch. The only thing you need
Which envelope should you choose?
A detailed solution for a problem about total probability





