Lectures related to Gaussian Mixture Regression: Theory and Applications

Related lectures (32)

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

Covers the concept of gradient descent for linear regression, explaining the iterative process of updating parameters.