Lectures in course PHYS-467: Machine learning for physicists

Explores early stopping in gradient descent and variants for faster optimization.

Covers stochastic gradient descent, linear regression, regularization, supervised learning, and the iterative nature of gradient descent.

Explores generalized linear regression, logistic regression, and multiclass classification in machine learning.

Covers the concept of multiclass classification and the challenges of linearly separating data with multiple classes.