Cybersecurity 207

Applied Machine Learning for Cybersecurity

3 units

Course Description

Machine learning is a rapidly growing field at the intersection of computer science and statistics concerned with finding patterns in data. It is responsible for tremendous advances in technology, from personalized product recommendations to speech recognition in cell phones. This course provides a broad introduction to the key ideas in machine learning, with a focus on applications and concepts relevant to cybersecurity. The emphasis will be on intuition and practical examples rather than theoretical results, though some experience with probability, statistics, and linear algebra will be important.

Previously listed as CYBER W207.


MICS students only. CYBER 206.

Requirements Satisfied

Applied Data Science Certificate — Analytical Methods and Techniques of Data Science

Last updated:

April 2, 2024