Lectures related to Quantum Chemistry Applications

Related lectures (32)

Covers unsupervised learning with PCA and K-means for dimensionality reduction and data clustering.

Covers linear models, including regression, derivatives, gradients, hyperplanes, and classification transition, with a focus on minimizing risk and evaluation metrics.