Discrete-Time Markov Chains and Monte Carlo Methods
Completed by Jorge Hryhorczak Fermin
November 27, 2025
32 hours (approximately)
Jorge Hryhorczak Fermin's account is verified. Coursera certifies their successful completion of Discrete-Time Markov Chains and Monte Carlo Methods
What you will learn
Analyze long-term behavior of Markov processes for the purposes of both prediction and understanding equilibrium in dynamic stochastic systems
Apply Markov decision processes to solve problems involving uncertainty and sequential decision-making
Simulate data from complex probability distributions using Markov chain Monte Carlo algorithms
Skills you will gain
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence
- Category: Mathematical Theory & Analysis
- Category: Generative AI
- Category: Decision Intelligence
