Brandon Lee

MLOps Principles Part Two: Model Bias and Fairness

By Nikhil Modha, Brandon Lee

Welcome back to the second instalment of our two-part series – MLOps (Machine Learning Operations) Principles. If you missed part one, which focused on the importance of model monitoring, it can be found here. This blog explores the various forms that model bias can take, whilst delving into the challenges of detecting and mitigating bias, … Continue reading Brandon Lee →

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Published on: May 23, 2023

MLOps Principles Part One: Model Monitoring

By Brandon Lee, Nikhil Modha

Machine learning (ML) has quickly become one of the most transformative technologies of our time – with applications in a wide range of industries, from healthcare and finance to retail and transportation. As organisations begin to adopt ML, they are facing new challenges arising from working with ML systems. Building, deploying and maintaining ML models … Continue reading Brandon Lee →

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Published on: March 31, 2023