Past Workshops and Activities Skip to search and filter 1 – 2 p.m., Today 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 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 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 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 Image 10 – 10:30 a.m., Feb. 14, 2025 Strategies for Managing Data for Team Projects (1 of 2-part CyVerse webinar) discuss how to use CyVerse features for access control, automated upload/download, sharing, taking your data to multiple places, connecting things to your data/connecting your data to things, and keeping track of data as team members change. Image 2 – 3 p.m., Feb. 13, 2025 RNA-Seq Data Analysis in R: From Raw Counts to Differential Expression Analysis Focus on differential expression analysis using R, guiding through essential steps from raw count data to identifying differentially expressed genes. Image 2 – 3 p.m., Feb. 13, 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. 1 – 2 p.m., Feb. 13, 2025 Best practices of Prompt Engineering using AI Verde Learn practical prompt engineering techniques to optimize U of A Generative AI Verde for academic and professional use. Image Noon – 1 p.m., Feb. 13, 2025 Text pre-processing for NLP Intro to pre-processing techniques for text data from sources such as web scraping and online datasets. Image Noon – 1 p.m., Feb. 13, 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. Pagination … 1 2 3 4 5 6 7 8 9 … Next › Next page Last » Last page
1 – 2 p.m., Today 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 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 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 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 10 – 10:30 a.m., Feb. 14, 2025 Strategies for Managing Data for Team Projects (1 of 2-part CyVerse webinar) discuss how to use CyVerse features for access control, automated upload/download, sharing, taking your data to multiple places, connecting things to your data/connecting your data to things, and keeping track of data as team members change.
Image 2 – 3 p.m., Feb. 13, 2025 RNA-Seq Data Analysis in R: From Raw Counts to Differential Expression Analysis Focus on differential expression analysis using R, guiding through essential steps from raw count data to identifying differentially expressed genes.
Image 2 – 3 p.m., Feb. 13, 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.
1 – 2 p.m., Feb. 13, 2025 Best practices of Prompt Engineering using AI Verde Learn practical prompt engineering techniques to optimize U of A Generative AI Verde for academic and professional use.
Image Noon – 1 p.m., Feb. 13, 2025 Text pre-processing for NLP Intro to pre-processing techniques for text data from sources such as web scraping and online datasets.
Image Noon – 1 p.m., Feb. 13, 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.
