Tag: Variance

I have been searching for the derivations (like many of you do too) of the well crammed formulae of Mean & Variance related to various probability distributions. Although, existence of such derivations is there already but in a scattered manner, so I decided to go through each one of them in det...

We covered a lot of ground in Part 1 and Part 2 of this series. Part 1 was the appetizer, where we covered some basics you’d need to know on your journey to understanding the bias-variance tradeoff. Part 2 was our hearty main course, where we devoured co...

The mean squared error (MSE) is the most popular (and vanilla) choice for a model’s loss function and it tends to be the first one you’re taught. You’ll likely take a whole bunch of stats classes before it occurs to anyone to tell you that you’re welcome t...