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Lecture
The Likelihood of Data under a Model
Description
This lecture delves into the statistical view of generative models, exploring the likelihood of data under a model, illustrated through examples like the Gaussian distribution. It explains the concept of maximum likelihood, emphasizing the importance of choosing model parameters that maximize the log-likelihood, and concludes with a summary of the maximum likelihood method.
Official source
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