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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers McDiarmid's inequality, which provides concentration bounds for functions of independent random variables. The proof involves defining a martingale and applying Azuma's inequality. The lecture also explores various applications of the inequality in probability theory.