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CS109 - HARVARD
▸ The prerequisite for this class is programming knowledge at
the level of CS 50 (or above), and statistics knowledge at the
level of Stat 100 (or above).
▸ Stats 110: sample spaces, naive definition of probability,
counting, sampling, random variables, CDFs, PMFs, discrete
vs. continuous, Hypergeometric, Poisson distribution, Poisson
approximation, standard Normal, Normal normalizing
constant, Markov chains, transition matrix, stationary
distribution, Chi-Square, Student-t, Multivariate Normal
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