Lecture 24 Quiz
What's the difference between the prior and posterior distribution?
they are the same
a prior distribution is knowledge known beforehand, whereas a posterior is the unknown quantity
A posterior is the knowledge known beforehand, whereas a prior is the unknown quantity
None of the above
How do we perform maximum likelihood estimation?
Find parameters that maximize the lilkelihood of seeing the data
Find parameters that minimize our bayesian priors
Maximizing the entropy of a latent distribution
In a mixture of gaussian models, we model..
the joint distribution as a multivariate gaussian
the conditional distribution as a multivariate gaussian
the distribution of X as a multivariate gaussian
the distribution of X as a univariate gaussian
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