Bayesian Inference and Deep Learning: Theory and Practice of Generative Models

IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...

4 Machine Learning Books for the PyTorch Era

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...
Nature

Bayesian Inference and Model Misspecification

Bayesian inference offers a principled mechanism for updating beliefs by combining prior distributions with observed data via Bayes’s theorem. Central to this approach is the specification of a ...
lse

Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Financial Statistics, MSc in Financial Statistics ...