Machine Learning

This training offers a crash course in AI/ML. We discuss the history of AI, traditional classification/regression methods such as Support Vector Machines (SVM) and Decision Trees, various Neural Network architectures such as feedforward, recurrent, and convolutional neural networks, and more advanced models such as Transformers that are used in Large Language Models (LLM). There are hands-on components to his training, where you implement various models using Galaxy's ML toolkit and interactive environments.

Meet the Instructors

Kaivan Kamali

Penn State University
Computer Scientist specializing in AI/ML and software engineering

Anup Kumar

University of Freiburg
ML researcher, Bioinformatics group, PhD Candidate

Michelle Savage

Johns Hopkins University
Senior DevOps Engineer for Galaxy Project