Bayesian Network in AI

Bayesian optimization is a method used to optimize complex functions that are expensive or time-consuming to evaluate. It is widely applied in machine learning, engineering, and scientific research to improve efficiency and precision, particularly in scenarios like hyperparameter tuning and experimental design. ✔️ Efficient Function Evaluation: Bayesian optimization minimizes costly evaluations, making it ideal for scenarios where each evaluation has a high resource cost. ✔️ Versatility: It hand

PAC-Bayesian Machine Learning: Learning by Optimizing a Performance Guarantee

Artificial Intelligence | AI on Instagram: "Bayesian statistics is a way of thinking about probability that helps us make decisions and predictions by combining what we already know (called a prior) with new data we see. It is a large field with many popular applications (Bayesian networks, diffusion models, variational autoencoders), with a couple of key ideas. The probability density function (PDF), describes how likely different values of a variable are. This function is central to how we mak