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CS 412 Machine Learning
This is an introductory machine learning course that will aim a solid understanding of the fundamental issues in machine learning (overfitting, bias/variance), together with several state-of-art approaches such as decision trees, linear regression, k-nearest neighbor, Bayesian classifiers, support vector machines, neural networks, logistic regression, and classifier combination.
SU Credits : 3.000
ECTS Credit : 6.000
Prerequisite : -
Corequisite :