Machine Learning I

In this course, students will learn to identify what machine learning is and is not, be able to explain the different types of machine learning and describe its various applications. The basic structure of machine learning algorithms will be discussed as well more general concepts, such as feature set, bias and variance, train/dev/test sets, and performance measures. The bulk of the course will focus on building and applying statistical and predictive models.