Markov Models

Markov models are mathematical systems used to predict future events based on current states, without considering past history. Imagine walking in a city where your next step depends only on where you currently are, not how you got there. Each possible situation is a "state," and transitions between states are determined by probabilities. These models are widely used in various fields, like finance for stock predictions, in language processing for predicting next words, and even in games for decision making. The key idea is that the future is determined solely by the present moment.