Jan 28 Image Introduction to Classical Machine Learning 1 – 2 p.m., Jan. 28, 2025 1 – 2 p.m., Feb. 4, 2025 1 – 2 p.m., Feb. 11, 2025 1 – 2 p.m., Feb. 18, 2025 1 – 2 p.m., Feb. 25, 2025 1 – 2 p.m., March 4, 2025 1 – 2 p.m., March 11, 2025 1 – 2 p.m., March 18, 2025 1 – 2 p.m., March 25, 2025 Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python.
Feb 18 Image Handling Images & Videos Pt. 1 2 – 3 p.m., Feb. 18, 2025 This session introduces foundational tools and libraries, such as OpenCV and Gradio, for handling visual data in machine learning workflows.
Feb 18 Image Functional Open Science Skills for AI/ML Applications 2 – 3 p.m., Feb. 18, 2025 This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science.
Feb 18 Image AI Makerspace Meetup 3:30 – 4:30 p.m., Feb. 18, 2025 Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists.
Feb 19 Introduction to Machine Learning Algorithms 1 – 2 p.m., Feb. 19, 2025 Classical machine learning methods like decision trees, SVMs, and linear regression excel with structured data but require manual feature engineering.
Feb 20 Image Planning for Your Next Research Project 10 – 11:30 a.m., Feb. 20, 2025 This session emphasizes effective communication and planning to align team efforts and stakeholder engagement with research objectives.
Feb 20 Image Natural Language Processing for All Noon – 1 p.m., Feb. 20, 2025 Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries.
Feb 20 Image Introduction to Information Extraction Noon – 1 p.m., Feb. 20, 2025 Cover fundamentals of information extraction, such as named entity recognition, relationship extraction, and event detection.
Feb 20 Quick RAG application using AI Verde / HPC 1 – 2 p.m., Feb. 20, 2025 Learn to build a basic Retrieval-Augmented Generation (RAG) system with the U of A Generative AI Verde API, integrating custom knowledge bases.