Các khoá học hiện tại

•This course discusses topics include:
–(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
–(ii) Unsupervised learning (clustering, dimensionality
reduction, principal component analysis).
•The emphasis will be on learning high-level concepts behind machine learning algorithms, and applying  them to biomedical-related problems .