Bayesian Optimization
Bayesian Optimization: A Comprehensive Guide Introduction Bayesian Optimization (BO) is an efficient method for optimizing black-box functions that are expensive to evaluate. It is widely used in hyperparameter tuning for….
Tag: Bayesian Inference
Gaussian Mixture Models
Gaussian Mixture Models (GMM) – A Comprehensive Guide 1. Introduction to Gaussian Mixture Models (GMM) A Gaussian Mixture Model (GMM) is a probabilistic clustering algorithm based on the assumption that….
Probability Distributions (Normal, Binomial, Poisson, etc.)
Probability Distributions – A Detailed Guide Probability distributions describe how probabilities are assigned to different possible values of a random variable. They are fundamental in statistics, machine learning, data science,….