Unsupervised Machine Learning

This course expands on methods of machine learning (ML) and covers unsupervised learning in particular. Unsupervised Learning includes such methods as principal component analysis (PCS), k-means clustering, Gaussian mixture models and kernel density estimation. All of these methods will be covered extensively in the course.