00:00 Reviewing the previous chapter
00:59 Parameter learning: example
02:03 Recall: The likelihood function
3:50 Maximum likelihood estimation (MLE)
7:54 Example
15:42 Parameter learning for Bayesian networks
21:41 See it in practice
Authors: Hamid Kalantari, Pouria Ramazi
Instructor: Pouria Ramazi
Thank you Arezoo Haratian, Julia Schmid, and Amit Chakraborty for helping with revising the slides.
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