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 ...
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 ...

4 Essential Books on R, Bayesian Methods, and Reinforcement Learning

Introduction The moment I felt the most cold sweat in my machine learning career was during an internal review when I was ...
BIOENGINEER

Lightweight AI Model Slashes Flood Warning Times by Over 80 Percent

Floods remain among the deadliest and most economically destructive natural hazards on Earth, and the window in which ...