Lectures related to Introduction to Machine Learning

Related lectures (32)

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.