Calendar

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.

Intro to pre-processing techniques for text data from sources such as web scraping and online datasets.

Focus on differential expression analysis using R, guiding through essential steps from raw count data to identifying differentially expressed genes.

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.

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

This session introduces foundational tools and libraries, such as OpenCV and Gradio, for handling visual data in machine learning workflows.

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

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