Question: If two samples of data from a Bernoulli distribution have the same number of observations n, is the Fisher information equal for both samples or

If two samples of data from a Bernoulli distribution have the same number of observations n, is the Fisher information equal for both samples or not equal?

Is the EM algorithm for Gaussian Mixtures a supervised or unsupervised learning method?

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