Probability Theory
Probability theory is a branch of mathematics that deals with the analysis of random phenomena and uncertainty. It provides a formal framework for quantifying the likelihood of events, using concepts such as probability distributions, random variables, and statistical inference. This theory underpins many fields including statistics, machine learning, finance, and engineering.
Developers should learn probability theory when working on data-driven applications, machine learning models, or systems involving uncertainty and randomness. It is essential for tasks like building predictive algorithms, performing A/B testing, designing simulations, or analyzing large datasets. Understanding probability helps in making informed decisions based on data and assessing risks in software development.