Functional Open Science Skills for AI/ML Applications
When
Oftentimes, researchers may have all the knowledge necessary to for their work, however they may lack a key component: compute. In this session, attendees will learn of JetStream2 in order to address the need of GPUs and required compute as well as addressing reproducibility. Learn how to access and utilize JetStream2, the cloud computing for scalable data processing, training ML models, and managing collaborative projects. This session covers the basics of cloud infrastructure, setting up accounts, and using JetStream2 effectively for scientific research.
This workshop series provides graduate students in public universities with developing skills and learning tools required in today's AI/ML-focused science.
Ranging from covering the basic moving parts to understanding AI's role in Open Science, this workshop aims to lend an understanding where to obtain compute, covering software environments and reproducibility, the role of workflows, and aiming to create an end-to-end Machine Learning (ML) workflow.
SERIES: Learning the Fundamental Skills and Tools for Open Science and AI
Where: Register for Zoom Link
Instructor: Michele Cosi and Carlos Lizárraga
YouTube: UArizona DataLab and session links
- 01/28 The moving parts of Functional Open Science
- 02/04 AI's Role and Tools in Open Science
- 02/11 Learning to Work in the Cloud: JetStream2 and Reproducibility
- 02/18 Handling Images & Videos pt. 1
- 02/25 Handling Images & Videos pt. 2
- 03/04 Training and Testing Models
- 03/18 End-to-end ML Workflow pt.1
- 03/25 End-to-end ML Workflow pt.2