dahaha114 / Probabilistic-Machine-Learning

Repository for the course Probabilistic Machine Learning at Tübingen University

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Exercise 01 - Uncertainty

Analyse importance of uncertainty in deep learning methods when extrapolating data

Exercise 02 - Distributions

Beta and Gamma distributions and conjugate priors

Exercise 03 - Posterior Monte Carlo Sampling

Autonomous agent that can play the game Battleships by using Monte Carlo sampling in order to approximate the posterior over hits given hit/miss observations

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Repository for the course Probabilistic Machine Learning at Tübingen University


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