闪播福利库

Machine learning covers: logistic regression, ensemble methods, support vector machines, kernel methods, neural networks, Bayesian inference, reinforcement learning, learning theory, and their applications in text, image, and web data processing. Students will gain hands-on experience of developing machine learning algorithms using Python and scikit-learn. Prerequisite: 顿础厂颁听21003 and 顿础厂颁听32003 and student must be a DTSCBS major. (Typically offered: Fall)