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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 […]

Best Practices for Managing Data in your Research

McMaster University

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.

Creating Exhibitions with Omeka S

McMaster University

Date: 22 January 2025 Learn how to use Omeka S to manage digital collections and create scholarly exhibits. This tutorial will introduce participants to the basic functions of Omeka S, including how to create an archival item collection, add metadata, and build a digital exhibit. Learning Outcomes: Learn how to add items to Omeka S. Understand […]

Introduction to Python 

McMaster University

Date: 23 January 2025 This beginner-level workshop will introduce you to the basic concepts of the world’s most popular Python programming language. You’ll learn to store data in Python data types and variables, as well as learn how to perform operations on numbers and strings. No prior knowledge of Python is required. This session will […]

Streamline Your Research Materials Photos 

McMaster University

Date: 29 January 2025 You’ve been there–getting home from an incredible research trip to an archive, maps collection, or gallery only to face a folder with thousands of photos all labelled “IMG50293.png.” Join Research Data Management Specialist Danica Evering and Data Analysis and Visualization Librarian Subhanya Sivajothy for an overview of Tropy: an open-source solution to […]

Microdata Analysis with Python

McMaster University

Date: 6 February 2025 This hands-on workshop will guide participants through the process of data analysis using the Public Use Microdata File (PUMF) from Statistics Canada’s sample surveys. You will learn how to access, manage, and analyze microdata to extract meaningful insights. Participants will engage with sample datasets, explore various statistical techniques, and gain practical […]