Making Breaking Machine Learning Anomaly Detectors in Real Life
Offered By: YouTube
Course Description
Overview
Explore the intricacies of machine learning anomaly detectors in real-world applications through this insightful conference talk from BSidesLV 2015. Delve into the process of creating and challenging these detectors as Clarence Chio shares expert knowledge and practical experiences. Gain valuable insights into the complexities of implementing machine learning for anomaly detection in real-life scenarios, understanding both the potential and limitations of these systems.
Syllabus
GT04 Making Breaking Machine Learning Anomaly Detectors in Real Life Clarence Chio
Related Courses
Model Building and ValidationAT&T via Udacity Поиск структуры в данных
Moscow Institute of Physics and Technology via Coursera Data Analytics Foundations for Accountancy II
University of Illinois at Urbana-Champaign via Coursera Developing Machine Learning Applications
Amazon via Independent Anomaly Detection in Time Series Data with Keras
Coursera Project Network via Coursera