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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. […]

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 […]

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 […]

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 […]

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 […]

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 […]