Multi-Feature Anomaly Detection
Shirley discusses the evolution of anomaly detection models, highlighting the shift from single feature to multi-feature analysis in time series data. She shares her journey from software engineering to leading data science teams, emphasizing the importance of predictive analytics in understanding customer needs. Additionally, she reflects on her experience in cybersecurity, where early AI applications were used to profile user behavior for threat identification.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI for Network Management with Shirley Wu - 710
Related Questions
How can anomaly detection work be done on a massive scale in the context of the episode AI for Network Management with Shirley Wu - 710 and the clip Anomaly Detection Challenges?
How can anomaly detection work be done on a massive scale in the context of the episode AI for Network Management with Shirley Wu - 710 and the clip Anomaly Detection Challenges?