In part two of our series on Hidden Markov Models (HMMs), we talk to Katie and special guest Francesco about more useful and novel applications of HMMs. We revisit Katie's "Um Detector," and hear about how HMMs are used in genetics research.

Statistical Mistakes and the Challenger Disaster

Linear Digressions is a podcast about machine learning and data science.  Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.