Applied Machine Learning 101

Presented by

Pete Gajria, Analytics Director, Gurucul

About this talk

Join Gurucul for a conversation with our top data scientist about applied machine learning. This will be a talk about how we apply machine learning to the cybersecurity space. What models do we use? How do they work? What are the gotchas? What are the big wins? We'll talk about how cluster analysis works and how it can be applied. We'll discuss how and why machine learning algorithms can identify cyberattacks and malicious insider activity you don't even know about. Bring your questions and we'll provide answers! This will be an interactive session.

Related topics:

More from this channel

Upcoming talks (3)
On-demand talks (68)
Subscribers (3069)
Gurucul is transforming enterprise security with user behavior based machine learning and predictive analytics. Using identity to monitor for threats, Gurucul provides Actionable Risk Intelligence™ to protect against targeted and under-the-radar attacks. Gurucul is able to proactively detect, prevent, and deter advanced insider threats, fraud and external threats to system accounts and devices using self-learning, behavioral anomaly detection algorithms. Gurucul is backed by an advisory board comprised of Fortune 500 CISOs, and world renowned-experts in government intelligence and cyber security. The company was founded by seasoned entrepreneurs with a proven track record of introducing industry changing enterprise security solutions. Our mission is to help organizations protect their intellectual property, regulated information, and brand reputation from insider threats and sophisticated external intrusions.