Strong mathematical foundation for AI.

Discrete-Time Markov Chains and Monte Carlo Methods

Discrete-Time Markov Chains and Monte Carlo Methods
This course is part of Foundations of Probability and Statistics Specialization

Instructor: Jem Corcoran
Access provided by Vinnytsia National Technical University
3,054 already enrolled
21 reviews
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll 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'll gain
Tools you'll learn
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Taught in English
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This course is part of the Foundations of Probability and Statistics Specialization
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