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.
Prerequisites
Requirements Satisfied
Course History
Summer 2024
Spring 2024
Fall 2023
Summer 2023
Spring 2023
Fall 2022
Summer 2022
Spring 2022
Fall 2021
Summer 2021
Spring 2021
Fall 2020
Spring 2020
Fall 2019
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