Data Skeptic

Fair Hierarchical Clustering

Mar 28, 2022

34:26

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Highlights

AI Chapters

Episode notes

Is There a Trade Off?

04:12

The Importance of Fairness in Machine Learning Models

01:57

Is There a Key Intuition for Fair Clustering?

04:06

Introduction

2min

The Robustness of Machine Learning Models

4min

Clustering Algorithms

2min

The Challenges of Fairness in Supervised Learning

4min

Haraco Clustering Is a Great Choice for Genetics

4min

Cloud Native, Next Generation Solution for Intelligent, Accessible Data Analytical Astrato

2min

B B Edit 14 - The Best Text Editor Ever!

2min

The Importance of Fairness in Machine Learning Models

2min

Is There a Trade Off?

4min

10.

The Algarythmic Approach to Clustering

2min

11.

Is There a Key Intuition for Fair Clustering?

4min

12.

Data Skeptics - Another Instalment of Data Sceptical Nots

2min

Building a fair machine learning model has become a critical consideration in today’s world. In this episode, we speak with Anshuman Chabra, a Ph.D. candidate in Computer Networks. Chhabra joins us to discuss his research on building fair machine learning models and why it is important. Find out how he modeled the problem and the result found.

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