ENPM6333Introduction to Machine LearningThis course will focus on basic algorithms and techniques in machine learning and their practical implementation. The various topics include linear/nonlinear model classification and regression, logistic regression, support vector machines, kernels, decision trees, ensemble learning, random forests, principal component analysis, and neural networks. Various techniques for improving performance such as input-preprocessing, cross-validation, regularization, and fast optimization will also be discussed. The course will include an end-to-end machine learning project.
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