Math
This is my extended brain for math
Machine Learning, 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
Math, Probability and Statistics
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
Probability and Statistics
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
Probability and Statistics
Which envelope should you choose?
A detailed solution for a problem about total probability This article tackles problem number 7 of chapter 9 from the book “Introduction to Probability” by Blitzstein and Hwang, second edition.
Math, Probability and Statistics
Variance, Covariance, Autocovariance…what?
This article aims to distinguish between Variance, Covariance, Correlation, Autocovariance, and Autocorrelation. Furthermore there will be a numerical discrete example for computing the Autocorrelation in python. This article will not