Machine Learning in Chemistry

1 credits · Graduate Programs

A description of the basic types of machine learning (supervised, unsupervised, and reinforcement learning) complemented by examples of their application in chemistry. An overview of how these approaches 'learn' from data is described, as are common pitfalls encountered when putting them into practice.