Mastering Maximum Likelihood Estimation for Multivariate Normal Distributions

1. Master maximum likelihood estimation for multivariate normal distributions through hands-on implementation; 2. Understand Bayesian classification with minimum error rate under multivariate normal distributions; 3. Gain deeper insights into other parameter estimation techniques with practical code examples.

Implementation of a Classifier for Samples Following Multivariate Normal Distribution

Pattern recognition implementation of a classifier designed for samples that follow multivariate normal distribution, featuring statistical parameter estimation and classification algorithms.