Abstract: Python is a popular language for scientific computing, and great for general-purpose programming as well. This introductory course will walk you through the basics of programming in Python. We will cover the main language features – variables and data types, conditionals, lists, for/while loops, list comprehensions, dictionaries, writing functions, and working with external libraries. […]
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.
There are many cases where it's helpful to combine data from multiple sources or tables. This workshop will introduce how to work with multiple data frames in R. Participants are expected to already be familiar with R and RStudio. At the end of this workshop, you will be able to: Understand the need to work […]
Mendeley is a reference management tool that helps you build libraries of references and then add citations and bibliographies to word-processed documents. This workshop is meant for those using or considering Mendeley as a Citation Management tool. Attendees will learn to add, edit, and organize references; create bibliographies; manage PDF and use the Mendeley Papers […]
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 […]
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for directory structure conventions and directory names that will help organize your files in a way that is meaningful to both you and others.
Computational notebooks like Jupyter or Google Collaboratory are incredible helpful tools for exploring an idea without needing to set anything fancy up. They are also tools for creating complex documents with a mix of narrative, data, and code that can be run within the noteboook. This session will introduce you to common computational notebooks such […]
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 […]
Storing your data in a repository like Borealis makes it easy for other researchers, publishers, and collaborators to find, use, and cite your data. It supports the Open Science movement goals of transparency, accessibility, and collaboration, and can increase attention to your work. Please join us for this short hands-on workshop to learn how to […]
Data manipulation is a crucial part of data visualization and analysis. This workshop introduces common functions in the dplyr package to manipulate rows and columns. Participants are expected to already be familiar with R and the RStudio environment. The workshop is one hour, followed by an optional 30 minute practice period to reinforce what you […]
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