Parameter learning 1: Maximum likelihood estimation
Автор: easy learning
Загружено: 2022-11-10
Просмотров: 3090
Описание:
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.
This project is made possible with funding by the Government of Ontario and through eCampusOntario's support of the Virtual Learning Strategy. To learn more about the Virtual Learning Strategy visit: https://vls.ecampusontario.ca
This work is licensed under a Creative Commons “Attribution-NonCommercial 4.0 International” license.
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