DataHour: Mitigating Bias in Machine Learning
DataHour: Mitigating Bias in Machine Learning
03 Sep 202207:09am - 03 Sep 202208:09am
DataHour: Mitigating Bias in Machine Learning
About the Event
Machine Learning (ML) solutions must have great fairness and responsibility. Responsible AI is concerned with building ML systems that respect the rule of law, human rights, and values of equity, privacy, and fairness. Similar to how we must watch for bias in our everyday lives we must also monitor for bias in ML models that power these applications. The goal of this webinar is to demystify the 'fairness & equity' pillar of Responsible AI.
In this DataHour, you'll learn practical skills to quantify and mitigate bias that can arise when designing & building ML solutions. The objective of this workshop is to provide participants with practical hands-on coding skills to use a simple pre-built ML model and check for bias in data & the ML models’ predictions. Participants will also learn how to take corrective actions and apply a simple bias mitigation technique.
Prerequisites: Enthusiasm to learn data science.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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