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Whether you are backing up essential recordsdata or taking part in a favourite movie, you possibly can depend on state-of-the-art LG burners and drives. Subjects from generative and discriminative machine learning together with least squares methods, assist vector machines, kernel methods, neural networks, Gaussian distributions, linear classification, linear regression, most likelihood, exponential household distributions, Bayesian networks, Bayesian inference, mixture fashions, the EM algorithm, graphical fashions and hidden Markov fashions. Algorithms applied in MATLAB.
Introduction to machine studying, emphasis on information science. Topics embrace least square methods, Gaussian distributions, linear classification, linear regression, maximum probability, exponential family distributions, Bayesian networks, Bayesian inference, combination fashions, the EM algorithm, graphical fashions, hidden Markov models, support vector machines kernel methods. Emphasizes strategies and problems related to huge information. College students could not obtain credit score for both COMS W4771 and W4776.