Cs 6604: Data Mining
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چکیده
In the last lecture we discussed the relationships between different modeling paradigms such as the Bayesian approach, Maximum A Posteriori (MAP) approach, Maximum Likelihood (ML) approach, and the Leastsquares (LS) method. In this lecture we first prove that equivalence of LS and ML under the assumption of normally distributed error. Then, the notions of the naive Bayesian classifier and the Laplace estimate are discussed.
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