36-723 Hidden Markov Models: Theory and Applications

6 units, Carnegie Mellon University

Hidden Markov models HMM are a critical part of any data scientists toolbox. HMMs have been extensively used in applications ranging from speech processing to biological sciences, robotics, finance, and social sciences. In this class we will investigate all aspects of the standard HMM and its variants, from theory the state of the art estimation techniques. A key component of the course will focus on the practical aspects of HMM implementation including its wide range of applications.

Prerequisites: none listed

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