Markov Chains, Computer Science, Programming, Probability, Problem Solving.
between categorical values. We can determine a space and set probabilities such as eating habits or sunny, warm days or anything else It could be very complex or simple. We can use it on actions such as observable states with reinforcement learning or stock prices. Mostly games could be modeled