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  • Introduction to Machine Learning: Regression Models

    Date: 28 November 2024 This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop […]

  • Not another bloody talk about ‘AI’; or, these things are interesting and may be useful with lots of caveats

    University of Ottawa 50 University Private, Ottawa, Ontario, Canada

    3 December 2024 This workshop takes place from 11:30-12:30 (Eastern) in Perez Hall room 302 The hype cycle around ‘ai’ induces whiplash, things move so fast. And for many reasons, the deployment of these – what shall we call them: neural models? Language models? Artificial (un)Intelligence? – are done in ways that diminish human dignity, […]

  • Introduction to Machine Learning: Classification and Clustering

    Date: 5 December 2024 This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms […]

  • Introduction to Machine Learning: Neural Networks

    Date: 12 December 2024 In this workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems. This workshop begins with an introduction to neural networks, covering their architecture, activation functions, and training algorithms. Participants will gain insights into how neural networks […]

  • Annotations (Technical)

    LEMDO

    In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through the process of encoding their annotation files.

  • Introduction to Large Language Models (LLMs)

    Date: 19 December 2024 This workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM, their working, and how to fine-tune a pre-trained LLM for your own data. In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you […]

  • DH Project Foundations: Best Practices for Getting Started

    The University of British Columbia 1958 Main Mall, Vancouver, British Columbia, Canada

    Date: January 7 2025 This workshop sets the foundation for those at the beginning stages of a DH project. Specifically, this workshop will provide an introduction to best practices and workflows for those embarking on a TEI-based project. Topics will include best practices for file naming, organizational and naming practices, version control in Git/GitHub, and […]

  • Data Bites – Best Practices for File Formatting

    Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for file formatting. Join us to learn more about data formats, data access, and data preservation.

  • Best Practices for Managing Data in your Research

    McMaster University 1280 Main St W, Hamilton, Ontario, Canada

    Date: 15 January 2025 TIFU by losing a ton of data for my research – Have you ever seen a description like this on Reddit? Are your desktop and downloads folders a jumble of files named Data-finalFINAL-USETHISONE? Is all of your lab’s data stored on a single drive? Join research data management services and learn how […]

  • Sources (Technical)

    LEMDO

    In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through encoding and linking to a bibliography entry.

  • Introduction aux humanités numériques

    Les humanités numériques réfèrent à l’utilisation d’outils et de pratiques numériques dans les sphères des sciences humaines et sociales et des arts et lettres. Le numérique peut intervenir à différents moments d’une recherche en sciences humaines et sociales et en arts et lettres, et ce, peu importe la nature et la portée du projet. Cette […]

  • Introduction to Machine Learning: Regression Models

    This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop begins with an overview […]