Archives for Bias Mitigation

02 Apr

A guide to different bias mitigation techniques in machine learning

Bias is the inability to capture the true relationship between the data and the learning line by the machine learning algorithm. It can’t be completely resolved but it could be decreased to a minimum level so that there is a balance between the bias and the variance.

27 Jan

Guide to AI Fairness 360: An Open Source Toolkit for Detection And Mitigation of Bias in ML Models

Aishwarya Verma AI Fairness 360

As time passed, AI and ML have become more integral parts of our day-to-day life. People in today’s world are exposed to this new wave of technology in one way or another without even knowing it. Some of the most common examples of it are home assistants(Alexa, Siri, etc), recommendation systems(Amazon, Youtube, etc), chatbots, etc.…

The post Guide to AI Fairness 360: An Open Source Toolkit for Detection And Mitigation of Bias in ML Models appeared first on Analytics India Magazine.

27 Jan

Guide to AI Fairness 360: An Open Source Toolkit for Detection And Mitigation of Bias in ML Models

Aishwarya Verma AI Fairness 360

The post Guide to AI Fairness 360: An Open Source Toolkit for Detection And Mitigation of Bias in ML Models appeared first on Analytics India Magazine.