YoVDO

Making & Breaking Machine Learning Anomaly Detectors in Real Life

Offered By: BSidesLV via YouTube

Tags

Security BSides Courses Cybersecurity Courses Machine Learning Courses Anomaly Detection Courses Model Evaluation Courses

Course Description

Overview

Explore the intricacies of machine learning anomaly detectors in this 58-minute conference talk from BSidesLV 2015. Delve into the creation and deconstruction of these detectors, gaining practical insights into their real-world applications and limitations. Learn how to develop robust anomaly detection systems and understand potential vulnerabilities that could be exploited. Discover techniques for improving the effectiveness and reliability of machine learning-based security solutions in real-life scenarios.

Syllabus

GT - Making & Breaking Machine Learning Anomaly Detectors in Real Life - Clarence Chio


Taught by

BSidesLV

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent