Bayesian filtering

Bayesian filtering is a statistical method used to update our beliefs about a situation as new information becomes available. Imagine you’re trying to find a lost item in your house. Initially, you have a guess about where it might be. As you look in different rooms and find clues, you adjust your expectations based on what you discover. Bayesian filtering works similarly: it combines prior knowledge (what you already know) with new evidence to improve the accuracy of your predictions or decisions over time, making it useful in areas like spam detection, navigation, and predictive analytics.