Past Workshops and Activities Skip to search and filter Image 3:30 – 4:30 p.m., March 11, 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., March 11, 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., March 11, 2025 Introduction to Classical Machine Learning Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python. Image 2 – 3 p.m., March 6, 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., March 6, 2025 Introduction to GWAS Cover the key concepts of GWAS, focusing on applications with PLINK, PRSice, and R. 1 – 2 p.m., March 6, 2025 SQL specialized query code generation Learn to use Large Language Models to craft, optimize, and validate complex SQL queries for real-world database operations. Image Noon – 1 p.m., March 6, 2025 Introduction to Semantic Search Explore NLP-powered semantic search to enhance text retrieval with meaning and context beyond keywords. Image Noon – 1 p.m., March 6, 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. 1 – 2 p.m., March 5, 2025 Introduction to Visualization: Theory and Practice Visualization blends art and science to transform complex data into intuitive visual stories, requiring both theoretical knowledge and practical tool proficiency. Image 3:30 – 4:30 p.m., March 4, 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., March 4, 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., March 4, 2025 Training and Testing Models This session covers critical concepts like data splitting (training, validation, and test sets), evaluating model performance, and hyperparameter tuning. Pagination … 1 2 3 4 5 6 7 8 9 … Next › Next page Last » Last page
Image 3:30 – 4:30 p.m., March 11, 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., March 11, 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., March 11, 2025 Introduction to Classical Machine Learning Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python.
Image 2 – 3 p.m., March 6, 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., March 6, 2025 Introduction to GWAS Cover the key concepts of GWAS, focusing on applications with PLINK, PRSice, and R.
1 – 2 p.m., March 6, 2025 SQL specialized query code generation Learn to use Large Language Models to craft, optimize, and validate complex SQL queries for real-world database operations.
Image Noon – 1 p.m., March 6, 2025 Introduction to Semantic Search Explore NLP-powered semantic search to enhance text retrieval with meaning and context beyond keywords.
Image Noon – 1 p.m., March 6, 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.
1 – 2 p.m., March 5, 2025 Introduction to Visualization: Theory and Practice Visualization blends art and science to transform complex data into intuitive visual stories, requiring both theoretical knowledge and practical tool proficiency.
Image 3:30 – 4:30 p.m., March 4, 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., March 4, 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., March 4, 2025 Training and Testing Models This session covers critical concepts like data splitting (training, validation, and test sets), evaluating model performance, and hyperparameter tuning.
