Fundamentals of Machine Learning in Cybersecurity

This training introduces participants to the fundamentals of machine learning and its practical use in cybersecurity, including intrusion detection, malware classification, and anomaly detection. Through interactive lectures, hands-on demonstrations, and real-world case studies, learners will explore key algorithms such as decision trees, SVMs, and clustering techniques. By the end of the 4-hour session, attendees will understand how to build, evaluate, and apply ML models for cybersecurity challenges.