290F - Applied Machine Learning: Systems, Networks and Security

In this course, we will study specific machine learning as practical data mining and classification tools to be applied in the general areas of distributed systems, networking, and security. We will start by introducing broadly machine learning classifiers, and then study (by reading technical papers) how a variety of ML tools have been applied in these areas. The course is meant to be an interactive, discussion based class, where students will read and present papers. Outside of paper reading, students will form small teams and execute a new research project within the general scope of the course topic.