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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 the basics of random variables, including the distinction between deterministic and stochastic signals, random variable mapping, probability measurement through cumulative distribution and density functions, expectation, moments, and special cases like Gaussian and Uniform random variables. It also explores relations between random variables, such as cross-correlation, covariance, uncorrelated and independent elements.