CSCI 3151 - M08 - Maximum likelihood estimation
Автор: Atlantic AI Institute
Загружено: 2025-12-19
Просмотров: 15
Описание:
Many learning algorithms can be understood as solving the same underlying problem: choosing parameters that make the observed data as plausible as possible. In this lecture, we introduce maximum likelihood estimation (MLE) as a unifying principle that connects probability models, loss functions, and optimization.
You’ll see how familiar objectives like squared error arise naturally from probabilistic assumptions, and why thinking in terms of likelihood provides a clean, extensible foundation for modern machine learning methods.
Course module page:
https://web.cs.dal.ca/~rudzicz/Teaching/CS...
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