GP's University of Maryland Machine Learning Classes

Courses

This repository contains course materials, tutorials, and projects for two graduate-level courses taught at the University of Maryland:

• DATA605: Big Data Systems — scalable data engineering, distributed systems, and big data tools (data605/README.md)
• MSML610: Advanced Machine Learning — advanced ML techniques, research methods, and applied projects (msml610/README.md)

Class Projects

Course-specific project templates, guidelines, and student project resources are in the class_project/ directory. See:

• class_project/README.md — project overview
• class_project/tutorials_checklist.md — required learning materials
• class_project/how_to_contribute.md — contribution guidelines

Research Team Onboarding

New team members should open an issue "On-boarding <your_name>" to track progress through essential documentation:

• policies/ — team policies and standards
• class_project/tutorials_checklist.md — required tutorials
• class_project/X_in_60_mins.format_rules.md — content format requirements
• class_project/how_to_contribute.md — contribution guidelines

Repository Structure

Directory	Description
data605/	Lectures, tutorials, and materials for DATA605: Big Data Systems
msml610/	Lectures, tutorials, and materials for MSML610: Advanced Machine Learning
class_project/	Class project templates, examples, and student project guidelines
tutorials/	Standalone tutorials on ML and data engineering tools
papers/	Research papers and reading lists
research/	Research projects and experimental work
helpers_root/	Shared utility libraries and infrastructure

Office Hours

• Email: gsaggese@umd.edu
• Reach out by email to schedule a meeting or ask questions