Marvin Minsky
Machine Learning
A mathematical system that models randomly changing systems where future states depend only on the current state, not on past states.
Detailed Explanation
Markov Models are statistical models used to represent systems that undergo transitions from one state to another based solely on the current state, ignoring prior history. They are characterized by transition probabilities and are widely applied in areas like speech recognition, temporal pattern analysis, and decision processes, making them essential for modeling stochastic processes with memoryless properties.
Use Cases
- •Predicting stock market trends by modeling daily price movements based solely on the current day's state.
Related Terms
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