Datascience

This article delves into the sophisticated application of stochastic processes within data science. Readers will gain an advanced understanding of how randomness is modeled and utilized to enhance predictions and decision-making in complex, uncertain environments. From machine learning algorithms to financial market modeling, stochastic processes are pivotal in driving innovation and extracting meaningful insights from data.

In this article, I'll talk about a set of summary statistics; measures of spread.Spread is just what it sounds like - it describes how spread apart or close together the data points are. Just like measures of centre, there are a few different measures of spread.