CS725: Data Analysis and Machine Learning (2/2018)

Class meeting: 13.00-14.30 Monday,Thursday @ CSB 204

Instructor: Jakramate Bootkrajang
Office hours : 16.00-17.00 Tuesday,Friday @ CSB 107

Course outline
Hidden Markov Model (HMM)
Evaluation and decoding of HMM [Slides]
Learning HMM [Slides]
Reinforcement Learning (RL)
Introduction to RL [Slides]
Markov Decision Process [Slides]
Planning by Dynamic Programming [Slides]
Model-Free Prediction [Slides]
Model-Free Control [Slides]

Useful resources
RL by David Silver
Hidden Markov Model at Carnegie Mellon
HMM with Exercises
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