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Workshops (8)

Learn

Explore a library of educational materials (workshops, guides, books, videos, etc.) covering a wide range of ML-related topics, tools, and workflows. From foundational concepts to advanced techniques, these materials offer clear explanations, practical examples, and actionable insights to help you navigate the complexities of ML with confidence.

One Useful Thing

Industry applications

One Useful Thing is a blog where Wharton professor Ethan Mollick “provides a research-based view on the implications of AI.” Since November 2022 Mollick has been sharing a…

Trustworthy AI - Explainability, Bias, Fairness, and Safety

Bias mitigation

Computer vision

Carpentries Incubator

The Trustworthy AI: Explainability, Bias, Fairness, and Safety workshop equips participants with practical skills to evaluate and improve the trustworthiness of machine…

Intro to AWS SageMaker for Predictive ML/AI

This introductory AWS SageMaker workshop teaches core workflows for running predictive ML/AI models in AWS SageMaker, an AWS-managed machine learning environment.…

Grokking

Empirical patterns

The verb, “to grok”, was originally coined by Robert A. Heinlein in his 1961 science fiction novel “Stranger in a Strange Land,” where it meant to understand something so…

Intro to Python

The Plotting and Programming in Python workshop provides an introduction to programming in Python 3 for people with little or no previous programming experience. It uses…

Intro to Machine Learning with Sklearn

Carpentries Incubator

The Intro to Machine Learning with Sklearn workshop will walk you through introductory machine learning concepts as well as how to implement common ML methods (e.g.…

Intro to Deep Learning with Keras

Carpentries Incubator

The Intro to Deep Learning with Keras workshop will walk you through introductory deep learning concepts as well as how to build a neural networks in Keras. Keras is…

Intro to Deep Learning with PyTorch

The Intro to Deep Learning with PyTorch workshop from Udacity will walk you through introductory deep learning concepts as well as how to build a neural networks in PyTorch.…

Understanding Deep Learning

Nowadays, nearly anyone can implement a deep learning model in a just a few lines of code. What separates the novices from the experts, however, is the ability to understand…

Intro to Text Analysis / NLP

Carpentries Incubator

The Intro to Text Analysis workshop introduces the field of Natural Language Processing (NLP) and how to gain insights from collections of text data (i.e., a corpus). This…

Overview of Reproducibility Lecture

Reproducibility

Dr. Sarah Stevens’ lecture highlights the critical importance of reproducibility in computational and data science projects. She also shares best practices to ensure…

Version Control with GitHub Desktop

Reproducibility

Navigating the world of version control systems like Git can initially feel daunting, especially for those new to programming or collaborative software development projects.…

Version Control with Git and GitHub (Carpentries)

Reproducibility

The below video (and the 7 subsequent videos in the workshop playlist) will walk you through this introductory Git workshop from the Carpentries: Version Control with…

Intro to Out-of-Distribution Detection

The below tutorial from Sharon Li, an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin-Madison, introduces a pervasive problem faced…

How to Contribute?

We want Nexus to serve also as a place where members of the community can share their knowledge. This guide answers the question, how to contribute to Nexus?