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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 short history of probability, starting with Cardano and Bayes, and progressing to Laplace and Kolmogorov. It explains the concepts of sample space, event, and probability, using examples like rolling dice and playing lotteries. The lecture also delves into the probability of events, including complements and unions, and provides practical examples such as calculating the probability of rolling a specific sum with dice.