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Focus on emerging as a leader in the rapidly evolving field of cybersecurity, not test scores.
Choose from our four cohort start dates and begin the program at the time that works best for you.
Graduates prepared to drive new developments in the field, excel in a wide variety of industries and join the College of Engineering and Computer Science's global alumni network of more than 20,000 tech professionals.
This course examines the relationship between machine learning and computer security and outlines the basics of machine learning theory and its methodologies. In addition to evaluating complex research problems, students learn high-level topics, including:
Discover the algorithms that work as the backbone of machine-learning capabilities.
Explore the functions of neural networks, a subset of machine learning that mimics the cognitive functions of the human brain.
Measure how well a machine can comprehend tasks using mathematical frameworks.
Learn how to protect essential assets and information from unauthorized criminal activity.
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