Artificial Intelligence, Machine Learning, Data Science.
the regression problem analytically. For a dataset with a sample size of n and each data point has m features, Bayesian linear regression is defined as And both the prior over parameters θ and the error ε are assumed to be normally distributed. Posterior When manipulating normal distributions, if