Calendar

This session emphasizes effective communication and planning to align team efforts and stakeholder engagement with research objectives.

Cover fundamentals of information extraction, such as named entity recognition, relationship extraction, and event detection.

Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries.

Learn to build a basic Retrieval-Augmented Generation (RAG) system with the U of A Generative AI Verde API, integrating custom knowledge bases.

Dive into powerful downstream analyses to uncover the rich insights hidden in your RNA-seq data.

Acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis and more.

Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python.

Continuing from the previous workshop, this session aims to solidify concepts and techniques applicable to handling images and videos in order to train and test AI/ML models.

This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science.