APA - Machine Learning Seminar (Aprendizaje Automático)

This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to quality control, communication systems, biomedical analysis, speech recognition, computer visión and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering.

Professors: Josep Vidal, Veronica Vilaplana