Supreet’s backgroundResponsible AIExample of explainable AIResponsible AI vs explainable AIExplainable AI tools and frameworks (glass box approach)Checking for bias in data and handling personal dataUnderstanding whether your company needs certain type of dataData quality checks and automationResponsibility vs profitabilityThe human touch in AIThe trade-off between model complexity and explainabilityIs completely automated AI out of the question?Detecting model drift and overfittingHow Supreet became interested in explainable AITrustworthy AIReliability vs fairnessBias indicatorsThe future of explainable AIAbout DataBuzzThe diversity of data science rolesEthics in data scienceConclusion LinkedIn: https://www.linkedin.com/in/supreet-kaur1995/Databuzz page: https://www.linkedin.com/company/databuzz-club/Medium Blog Page: https://medium.com/@supreetkaur_66831ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
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