Machine Learning for Threat Classification: Addressing Class Imbalance and Explainability

Explore the critical aspects of machine learning for threat classification in this 17-minute video from Cloud Security Alliance. Delve into the essential techniques for addressing class imbalance, uncover the importance of explainability in threat detection models, and gain valuable insights into best practices for the modeling process. Learn how to enhance the accuracy and reliability of threat classification systems, ensuring more effective cybersecurity measures in an increasingly complex digital landscape.

Machine Learning for Threat Classification