Date: 21 November 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 […]
Date: 25 November 2024 Are you applying for research ethics? Are you unsure what your responsibilities are for managing it or trying to figure out what a good way to manage it is? In this workshop, we will discuss the foundations of working with sensitive data including how to protect your data, your research participants, […]
Date: 26 November 2024 Learn the basics of using Git and GitHub for version control and collaboration. Git is widely used version control software that tracks changes to a group of files, referred to as a repository. GitHub is a popular website for hosting and sharing Git repositories, making it easier to collaborate and share your work. Together, Git […]
Date: 27 November 2024 Description: This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying & Textual Analysis – Parts III & IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. We will use a Python library to analyze textual data […]
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 […]
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 […]
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, […]
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 […]
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 […]
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through the process of encoding their annotation files.
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 […]
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 […]
