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.

Understanding Quantization and Precision
Notebooks
Code-along
Deep learning
LLM
Quantization
GPU
Hugging Face
PyTorch

Explore quantization and floating-point precision in deep learning — covering FP32, FP16, BF16, INT8, and 4-bit formats and their impact on GPU memory and inference speed.

Chris Endemann
2026-03-02

Intro to GCP for Machine Learning & AI
Workshops
Code-along
Carpentries
Compute
Cloud
Google
GCP
GPU
LLM
RAG
Retrieval
This Intro to GCP workshop teaches core workflows for building, training, and tuning ML/AI models in Google Cloud’s Vertex AI platform. Participants learn to set up data…
Chris Endemann
2025-11-03

GeoDeepDive: Unlocking Knowledge from Scientific Literature
Notebooks
Data
NLP
OCR
Text analysis
Retrieval

A guide to using GeoDeepDive, a powerful platform and database for large-scale text and data mining of scientific documents.

Devanshi Jain
2025-08-21

Computational and Inferential Thinking: The Foundations of Data Science
Books
First-steps
Regression
Clustering
Code-along

A beginner-friendly introduction to data science, statistics, and Python programming through hands-on exercises — no prior experience assumed.

Peter Cruz Parrilla
2025-08-18

Interpretable Machine Learning
Books
Deep learning
Regression
Decision trees
Visualization
Interpretability

A comprehensive guide to understanding and explaining ML models, covering model-specific and model-agnostic interpretation methods.

Peter Cruz Parrilla
2025-08-18

Exploring Fact-Based QA with RAG: Romeo and Juliet
Notebooks
RAG
Retrieval
NLP
LLM
Text analysis
Deep learning
Prompt engineering
Code-along

Build an end-to-end RAG pipeline from scratch — covering text chunking, semantic embeddings, retrieval, and LLM-based answer generation.

Chris Endemann
2025-05-07

Learning Through Comparison: Use Cases of Contrastive Learning
Videos
ML+X
UW-Madison
Deep learning
Contrastive learning
Clustering
OOD detection
Multimodal learning
Trustworthy AI
Representation learning
CIFAR
Contrastive learning is reshaping how models learn, driving widespread progress in feature learning, clustering, out-of-distribution detection, and multimodal applications.…
Yin Li, Chris Endemann
2025-02-10

Introduction to Statistical Learning
Books
Classical ML
Regression
Deep learning
Decision trees
Unsupervised learning
Code-along
First-steps

A foundational introduction to statistical learning covering regression, classification, tree-based methods, and deep learning with R and Python labs.

Chris Endemann
2025-01-06

One Useful Thing
Blogs
Industry applications
LLM
Ethical AI
GenAI
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…
Alan Ng
2024-12-12

Trustworthy AI - Explainability, Bias, Fairness, and Safety
Workshops
Trustworthy AI
Explainability
Interpretability
Fairness
Bias
OOD detection
AIF360
PyTorch-OOD
GradCAM
Tabular
Computer vision
NLP
Text analysis
Code-along
Carpentries
Deep learning
Model sharing
The Trustworthy AI: Explainability, Bias, Fairness, and Safety workshop equips participants with practical skills to evaluate and improve the trustworthiness of machine…
Chris Endemann
2024-12-03

Intro to AWS SageMaker for Predictive ML/AI
Workshops
Code-along
Carpentries
Compute
AWS
GPU
Cloud
RAG
SageMaker
Bedrock
This introductory AWS SageMaker workshop teaches core workflows for running predictive ML/AI models in AWS SageMaker, an AWS-managed machine learning environment.…
Chris Endemann
2024-11-07

Exploring the Titanic Dataset
Notebooks
EDA
Tabular
Code-along

A hands-on EDA tutorial covering data cleaning, visualization, outlier detection, correlation analysis, and feature engineering with the classic Titanic dataset.

Chris Endemann
2024-10-07

Grokking
Videos
Deep learning
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…
Chris Endemann
2024-07-26

Intro to Python
Workshops
Python
Carpentries
Code-along
First-steps
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…
Chris Endemann
2024-07-18

Intro to Machine Learning with Sklearn
Workshops
Libraries
Classical ML
Boosting
Decision trees
SVM
Clustering
Unsupervised learning
Regression
Sklearn
Code-along
Carpentries
First-steps
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.…
Chris Endemann
2024-07-17

Intro to Deep Learning with Keras
Workshops
Libraries
Deep learning
Keras
Code-along
Carpentries
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…
Chris Endemann
2024-07-16

Intro to Deep Learning with PyTorch
Workshops
Libraries
Deep learning
PyTorch
Udacity
Code-along
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.…
Chris Endemann
2024-07-15

Understanding Deep Learning
Books
Deep learning
PyTorch
Code-along
First-steps

A modern, theory-focused deep learning textbook covering neural networks, CNNs, transformers, generative models, and reinforcement learning with PyTorch notebooks.

Chris Endemann
2024-07-14

Intro to Text Analysis / NLP
Workshops
Deep learning
Hugging Face
Text analysis
NLP
LLM
Code-along
Carpentries
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…
Chris Endemann
2024-07-13

Overview of Reproducibility Lecture
Videos
Reproducibility
Dr. Sarah Stevens’ lecture highlights the critical importance of reproducibility in computational and data science projects. She also shares best practices to ensure…
Chris Endemann
2024-07-12

Version Control with GitHub Desktop
Guides
Reproducibility
Git/GitHub
Code-along
Navigating the world of version control systems like Git can initially feel daunting, especially for those new to programming or collaborative software development projects.…
Chris Endemann
2024-07-11

Version Control with Git and GitHub
Workshops
Videos
Reproducibility
Carpentries
Git/GitHub
Code-along
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…
Chris Endemann
2024-07-11

Intro to Out-of-Distribution Detection
Videos
ICCV
OOD detection
Trustworthy AI
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…
Sharon Li
2024-07-11

How to Contribute?
Guides
Nexus is built by people sharing what they’ve learned with each other. This guide covers what we’re looking for, what makes a good contribution, and how to submit one.
ML+X
2024-06-24
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