Calendar

This session covers the principles of Open Science and the transformative role of AI in driving research forward, discussing key AI/ML tools such as PyTorch alongside open datasets and community-driven resources.

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

Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists.

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

An intro to the basics of building regular expressions, with a focus on creating and applying patterns to extract, clean, and transform text data effectively.

Identify genes exhibiting significant expression changes between different biological conditions. Run a functional differential expression analyses pipeline.

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.

In this session, learn JetStream2 to address the need of GPUs and required compute as well as addressing reproducibility.

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