This course provides a brief overview of the methods and practice of statistical machine learning, which is concerned with the development of algorithms and techniques that learn from observed data by constructing stochastic models that can be used for making predictions and decisions. The idea of the course is to (a) give a mini-introduction and background to logicians interested in the AI courses, and (b) to summarize the core concepts covered by the machine learning courses during this week.