Explore the latest multivariate capabilities of Microsoft's Anomaly Detector in this two-hour AI Show Live episode. Join host Seth Juarez and guest Tony Xing as they delve into the new features, use case scenarios, and Multivariate Detection APIs. Learn how to submit model training, understand real-world applications, and participate in a Q&A session. After the main segment, watch Seth continue work on his Roshambo game, record promos for CodeStories, and dive into maths and regression. Gain insights into Azure Anomaly Detector, access sample notebooks, and discover resources for building predictive maintenance solutions.
New to Anomaly Detector: Multivariate Capabilities - AI Show Live Episode 11
Overview
Syllabus
Livestream begins.
Seth joins livestream.
Tony Xing joins.
What is Anomaly Detector.
New to Anomaly Detector: Multivariate capabilities.
Use case scenario w/5 streams.
Multivariate Detection APIs.
Submit the model training - how does it get all the data?.
Real world use.
Segment concludes.
Q&A.
Seth gets back to work on Roshambo.
Seth takes a call from Ch9 producer Kaitlin and records promos for CodeStories https://aka.ms/c9CodeStories.
Back to work on Roshambo, maths and regression.
Taught by
Microsoft Developer
