Mar 20 Image Natural Language Processing for All Noon – 1 p.m., March 20, 2025 Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries.
Mar 20 Image Introduction to Speech Technology Noon – 1 p.m., March 20, 2025 A beginner-friendly, hands-on workshop that covers the basics of acoustic modeling, phonetics and the applications of speech tech in modern applications.
Mar 20 Image De-novo Detection and Annotation of Transposable Elements 2 – 3 p.m., March 20, 2025 Intro to TE biology and a pipeline for de-novo detection and annotation using RepeatModeler2 and RepeatMasker.
Mar 20 Image Bioinformatics & Genomics: From Data Analysis to AI Applications 2 – 3 p.m., March 20, 2025 Acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis and more.
Mar 25 Image Hands-on Machine Learning: A Journey Through Data Science 1 – 2 p.m., March 25, 2025 Covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python.
Mar 25 Image End-to-end ML Workflow pt.2 2 – 3 p.m., March 25, 2025 Continuing from the previous session, this workshop aims to use the previously labelled data in order to train, test and run a model.
Mar 25 Image Functional Open Science Skills for AI/ML Applications 2 – 3 p.m., March 25, 2025 This workshop series provides students with developing skills and learning tools required in today's AI/ML-focused science.
Mar 25 Image AI Makerspace Meetup 3:30 – 4:30 p.m., March 25, 2025 Join us while we sit down to code and discuss how to build AI applications with U of A DataLab scientists.
Mar 27 Image Speech-to-Text with Whisper AI Noon – 1 p.m., March 27, 2025 An overview of Whisper AI's architecture and features, and the process of building, training, and deploying speech-to-text models.
Mar 27 Image Natural Language Processing for All Noon – 1 p.m., March 27, 2025 Explore the fundamental concepts behind NLP: From understanding how computers interpret human language to discovering how to improve search queries.
