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Stochastic Processes

[stəˈkæstɪk ˈprɒsɛsɪz]
Artificial Intelligence
Last updated: December 9, 2024

Definition

Mathematical models for random phenomena evolving over time, crucial for probabilistic AI modeling.

Detailed Explanation

Stochastic processes model systems that evolve randomly over time. They include Markov chains, random walks, and Brownian motion. In AI, they're essential for modeling uncertainty, time series analysis, and reinforcement learning.

Use Cases

Reinforcement learning, time series prediction, probabilistic modeling

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