This tutorial is here to help researchers understand and handle uncertainty in their models, making them more reliable using Bayesian methods. We'll start by discussing different Bayesian approaches and then focus on Bayesian Neural Networks and how to approximate them efficiently for computer vision tasks. We will also use real-world examples and practical methods to show how to put these ideas into practice. -