•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).
reduction, principal component analysis).
•The
emphasis will be on learning high-level concepts behind machine learning
algorithms, and applying them to
biomedical-related problems .