Christopher Salahub on Markov Chains – The Central Equilibrium – Episode 2

By September 11, 2017ai, bigdata, machinelearning

(This article was originally published at Statistics – The Chemical Statistician, and syndicated at StatsBlogs.)

It was a great pleasure to talk to Christopher Salahub about Markov chains in the second episode of my new talk show, The Central Equilibrium!  Chris graduated from the University of Waterloo with a Bachelor of Mathematics degree in statistics.  He just finished an internship in data development at Environics Analytics, and he is starting a Master’s program in statistics at ETH Zurich in Switzerland.

Chris recommends “Introduction to Probability Models” by Sheldon Ross to learn more about probability theory and Markov chains.

The Central Equilibrium is my new talk show about math, science, and economics. It focuses on technical topics that involve explanations with formulas, equations, graphs, and diagrams.  Stay tuned for more episodes in the coming weeks!

You can watch all of my videos on my YouTube channel!

Please view this blog post beneath the fold to watch the video on this blog.  You can also watch it directly on YouTube.

Filed under: Applied Mathematics, Applied Statistics, Mathematical Statistics, Mathematics, Probability, Statistics, The Central Equilibrium, Video Tagged: chris salahub, christopher salahub, markov, markov chains, math, mathematics, probability, statistics, The Central Equilibrium

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