This workshop provides an overview of several popular machine learning algorithms for classification problems. Examples may include Decision Trees, Random Forests, K-Nearest Neighbors, TensorFlow, Convolutional Neural Networks, and Long Short-Term Memory Networks.
Prerequisite: Knowledge of Python and experience with Rivanna, UVA’s high-performance computing cluster.
Registrants will receive a reminder about the workshop and a Zoom link by e-mail three days before the workshop begins.