Past Workshops and Activities Skip to search and filter Image 2 – 3 p.m., Feb. 20, 2025 Bioinformatics & Genomics: From Data Analysis to AI Applications Acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis and more. Image 2 – 3 p.m., Feb. 20, 2025 Downstream Analysis of RNA-Seq Results in R: GSEA, PPI Networks, and Biological Interpretation Dive into powerful downstream analyses to uncover the rich insights hidden in your RNA-seq data. 1 – 2 p.m., Feb. 20, 2025 Quick RAG application using AI Verde / HPC Learn to build a basic Retrieval-Augmented Generation (RAG) system with the U of A Generative AI Verde API, integrating custom knowledge bases. Image Noon – 1 p.m., Feb. 20, 2025 Introduction to Information Extraction Cover fundamentals of information extraction, such as named entity recognition, relationship extraction, and event detection. Image Noon – 1 p.m., Feb. 20, 2025 Natural Language Processing for All Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries. Image 10 – 11:30 a.m., Feb. 20, 2025 Planning for Your Next Research Project This session emphasizes effective communication and planning to align team efforts and stakeholder engagement with research objectives. 1 – 2 p.m., Feb. 19, 2025 Introduction to Machine Learning Algorithms Classical machine learning methods like decision trees, SVMs, and linear regression excel with structured data but require manual feature engineering. Image 3:30 – 4:30 p.m., Feb. 18, 2025 AI Makerspace Meetup Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists. Image 2 – 3 p.m., Feb. 18, 2025 Handling Images & Videos Pt. 1 This session introduces foundational tools and libraries, such as OpenCV and Gradio, for handling visual data in machine learning workflows. Image 2 – 3 p.m., Feb. 18, 2025 Functional Open Science Skills for AI/ML Applications This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science. Image 1 – 2 p.m., Feb. 18, 2025 Introduction to Classical Machine Learning Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python. Image 1 – 2 p.m., Feb. 18, 2025 Unsupervised Learning: Dimensionality Reduction Pagination … 1 2 3 4 5 6 7 8 9 … Next › Next page Last » Last page
Image 2 – 3 p.m., Feb. 20, 2025 Bioinformatics & Genomics: From Data Analysis to AI Applications Acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis and more.
Image 2 – 3 p.m., Feb. 20, 2025 Downstream Analysis of RNA-Seq Results in R: GSEA, PPI Networks, and Biological Interpretation Dive into powerful downstream analyses to uncover the rich insights hidden in your RNA-seq data.
1 – 2 p.m., Feb. 20, 2025 Quick RAG application using AI Verde / HPC Learn to build a basic Retrieval-Augmented Generation (RAG) system with the U of A Generative AI Verde API, integrating custom knowledge bases.
Image Noon – 1 p.m., Feb. 20, 2025 Introduction to Information Extraction Cover fundamentals of information extraction, such as named entity recognition, relationship extraction, and event detection.
Image Noon – 1 p.m., Feb. 20, 2025 Natural Language Processing for All Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries.
Image 10 – 11:30 a.m., Feb. 20, 2025 Planning for Your Next Research Project This session emphasizes effective communication and planning to align team efforts and stakeholder engagement with research objectives.
1 – 2 p.m., Feb. 19, 2025 Introduction to Machine Learning Algorithms Classical machine learning methods like decision trees, SVMs, and linear regression excel with structured data but require manual feature engineering.
Image 3:30 – 4:30 p.m., Feb. 18, 2025 AI Makerspace Meetup Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists.
Image 2 – 3 p.m., Feb. 18, 2025 Handling Images & Videos Pt. 1 This session introduces foundational tools and libraries, such as OpenCV and Gradio, for handling visual data in machine learning workflows.
Image 2 – 3 p.m., Feb. 18, 2025 Functional Open Science Skills for AI/ML Applications This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science.
Image 1 – 2 p.m., Feb. 18, 2025 Introduction to Classical Machine Learning Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python.
