Bayesian Filtering is a statistical technique used to update the probability estimate for a hypothesis as more evidence becomes available, effectively filtering out noise from the signal. It relies on Bayes' Theorem to iteratively refine predictions, making it a powerful tool in various applications such as spam detection, robotics, and financial modeling.