Data Skeptic [MINI] Markov Chain Monte Carlo
Apr 3, 2015
Explore how Markov Chain Monte Carlo (MCMC) algorithms can be used to model complex systems and track movement probability. Learn about the application of MCMC in winery popularity and understanding likelihood of visiting wineries. Discover the real-life applications of MCMC in determining probability distributions, advertising placement, and popular routes.
Chapters
Transcript
Episode notes
1 2 3 4 5
Introduction
00:00 • 2min
Modeling Complex Systems with Markov Chain Monte Carlo
02:00 • 2min
Tracking Movement and Probability with Markov Chain Monte Carlo
03:55 • 4min
Understanding Monte Carlo Sampling and Analyzing Winery Popularity
07:44 • 4min
Understanding the Likelihood of Visiting Wineries through Markov Chain Monte Carlo
11:38 • 4min