🎉 Welcome to your very first assignment in Machine Programming! In this journey, you’ll get your hands dirty with inductive program synthesis, starting with a bottom-up synthesizer, and ending with a ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...