Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Introduction
00:00 • 3min
Using Unsupervised Methods for Anomaly Detection
02:42 • 2min
Detecting Anomalies and Outliers in Health Care
04:29 • 2min
Detection of Unusualness in Outlie Retection
06:11 • 3min
What Is Statistical Parity?
09:31 • 2min
What Is Disparat Treatment?
11:19 • 2min
Using Outlide Redection in a Research Project?
13:13 • 3min
Slash Data Skeptic Terms and Conditions
16:27 • 5min
The Shortcoming of Statistical Parity
20:59 • 5min
Using Outline Detectors in Machine Learning
25:52 • 2min
Experiments to Evaluate the Quality of the Models
28:04 • 5min
Detection Is a Separate From the Learning Representation
33:19 • 4min
What's Next for You in Your Research?
37:02 • 2min
I'll Be Happy a E Wi, Any Further Questions That Your Listeners May Have.
38:58 • 16sec