Audience – Faculty and Staff – Vancouver

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 […]

Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for creating a README file. A README is a guide to your data and assists other researchers to understand your dataset, its contents, provenance, licensing and how to interact with it. Location: ONLINE (A Zoom link will be sent to registrants 3 […]

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 like decision trees, and […]

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 and GitHub provide a […]

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 can effectively capture and […]