Understanding Logistic Regression

The math of this method explained in detail What is logistic regression? Logistic regression is just adapting linear regression to a special case where you can have only 2 outputs: 0 or 1. And this thing is most commonly applied to classification problems where 0 and 1 represent two different Read more…

How do Neural Networks learn?

Going downhill on the loss landscape Neural networks are, with no doubt, the most popular machine learning technique that is used nowadays. So, I think it is worth understanding how they actually learn. To do so, let us first take a look at the image below: If we represent the Read more…

Hypothesis Testing demystified

How to translate Math into plain English Hypothesis testing is probably the most rewarding stage of a statistical study. It is the point where you get to the conclusions, where you (can) find answers to the questions you were searching answers for. These should be in the form of simple Read more…