Flowers

DataHour: Mitigating Bias in Machine Learning

Online 03-09-2022 01:00 PM to 03-09-2022 02:00 PM
  • 9814

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  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

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.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Speaker:

Joinal Ahmed

ML Solutions Architect at AWS

Joinal is a ML Solutions Architect at Aws, is a seasoned data science professional with an interest on solutioning ambiguous data driven problems, ML Advocacy and driving technology adoption. Joinal is also an active speaker and mentor in data science having mentored and coached more than 1000 students while working with industry leading edtech companies like Upgrad, AlmaBetter, Great Learning , Scalar and  DPhi .

You can follow him on Linkedin and Twitter.

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