Machine Learning and Pattern Recognition

Machine learning is the study of patterns in large, complex data sets,
with the goal of making quantitative predictions and inferences about
those patterns. In this talk, I will discuss pattern recognition,
perhaps the most fundamental problem in machine learning. Pattern
recognition is the problem of classifying a measured pattern into one
of a finite number of classes, leveraging known examples of each
class. I will overview basic methodological and theoretical issues in
pattern recognition.