Data Skeptic

Fairness Aware Outlier Detection

Apr 9, 2021

39:33

Creator website

Highlights

AI Chapters

Episode notes

Detection of Unusualness in Outlie Retection

03:20

Using Unsupervised Methods for Anomaly Detection

01:47

What Is Disparat Treatment?

01:54

Introduction

3min

Using Unsupervised Methods for Anomaly Detection

2min

Detecting Anomalies and Outliers in Health Care

2min

Detection of Unusualness in Outlie Retection

3min

What Is Statistical Parity?

2min

What Is Disparat Treatment?

2min

Using Outlide Redection in a Research Project?

3min

Slash Data Skeptic Terms and Conditions

5min

The Shortcoming of Statistical Parity

5min

10.

Using Outline Detectors in Machine Learning

2min

11.

Experiments to Evaluate the Quality of the Models

5min

12.

Detection Is a Separate From the Learning Representation

4min

13.

What's Next for You in Your Research?

2min

14.

I'll Be Happy a E Wi, Any Further Questions That Your Listeners May Have.

16sec

Today on the show we have Shubhranshu Shekar, a Ph. D Student at Carnegie Mellon University, who joins us to talk about his work, FAIROD: Fairness-aware Outlier Detection.

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.