This workshop is part of the 2019 Chemical BioPhysics Symposium.

This workshop will provide an introduction to some of the key methods and concepts in machine learning. We will present and discuss the following topics: - Introduction to machine learning. - Regression. - Bias-variance tradeoff. - Resampling Methods. - Classification algorithms, in general. - Decision trees, kNN, k-means. - Agglomerative clustering.

We will use Python 3, and attendees are expected to be familiar with the Python programming language but extensive programming experience is not required - we will mainly be calling functions in existing packages, not writing large amounts of code.
Teacher: Marcelo Ponce
Date: Fri, 3 May 2019 - 10:00 am
Data Science Credits: 3