Markov Chains

Data Skeptic

This episode introduces the idea of a Markov Chain. A Markov Chain has a set of states describing a particular system, and a probability of moving from one state to another along every valid connected state. Markov Chains are memoryless, meaning they don't rely on a long history of previous observations. The current state of a system depends only on the previous state and the results of a random outc

Next Episodes



Data Skeptic

NYC Speed Camera Analysis @ Data Skeptic

📆 2015-02-27 01:00


Data Skeptic

k-Means Clustering @ Data Skeptic

📆 2015-02-20 01:00