Introduction to convolution in the context of probability

Convolution in probability is a powerful tool that allows us to analyze and understand complex systems involving multiple random variables. It finds applications in various fields such as statistics, signal processing, and machine learning, where the combination of multiple probabilities is essential for modeling and prediction. In this video, I briefly explain the principle and basics in a very simple way using few examples. Random variables in examples are all independent in this video.