Core concepts behind machine learning and main types of problems it can solve.

    • Examples of real-world uses of machine learning in security to augment or replace rule-based or heuristic solutions to problems such as spam detection, intrusion detection, malware analysis, vulnerability prioritization, etc.

    Challenges of building reliable machine learning systems in security space.

    ...And more

The Speaker
Sanja Nedic, PhD

Sanja serves as NopSec's Data Scientist where her work includes building machine learning models to derive the probability of a vulnerability representing a serious threat for an organization, now or in the future. During her time at Stony Brook University she earned her PhD in Biomedical Engineering and her M.A. in Mathematics.