Clustering basics
In this lesson, we'll learn some of the key concepts behind clustering.
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Public tutorials and practical references for programming, NLP, applied machine learning, and research computing.
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33 standalone lessons, technical references, and course-adjacent guides.
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Distance and similarity metrics
In this lesson, we'll learn about distance and similarity metrics.
Docker basics
This lesson introduces you to the basics of Docker.
Feature vectors
In this lesson, you'll learn how to use to represent words and documents with vectors of features.
Forgejo and Class Maestro basics
This tutorial introduces the course workflow for using Forgejo repositories created through Class Maestro.
Git basics
This lesson introduces you to the basics of the Git version control system.
GitHub basics
This tutorial introduces you to using GitHub.
How LLMs See Text: Tokenization
This lesson introduces tokenization as the step where language models turn written text into token IDs. It includes a short concrete example using the tokenizer associated with gpt-oss-20b, without loading the model weights.
Installing Docker on Ubuntu
This tutorial provides instructions for installing Docker on Ubuntu. While the steps outlined here may work for other versions of Ubuntu (and some non-Ubuntu Linux distributions), these instructions were tested against Ubuntu 24.04 LTS.
Installing Ubuntu using VirtualBox
This tutorial provides instructions for installing the latest Ubuntu LTS (Long Term Support) version using VirtualBox.
Installing VS Code on Ubuntu
This tutorial provides instructions for installing Visual Studio Code on Ubuntu. While the steps outlined here may work for other versions of Ubuntu (and some non-Ubuntu Linux distributions), these instructions were tested against Ubuntu 24.04 LTS.
Introduction to containers
This lesson introduces you to the concept of containerization.
Introduction to scikit-learn
In this tutorial, we're going to step through training a naïve Bayes classifier with n-gram features using a popular machine learning library in Python called scikit-learn. This library provides implementations and an easy-to-use interface for many supervised and...
Introductions to tokens
In this lesson, we'll look at a definition of token and see some examples in English.
Japanese: tokens and part of speech
This is a brief look at tokenization and part of speech assignment in Japanese.
Language models (beginner)
In this lesson, we'll learn about estimating the probability of n-grams and see how we can approximate the probability of a document using n-gram probabilities.
Launching an instance on Jetstream 2
This tutorial provides instructions for launching an instance (virtual server) on Jetstream 2 using the Exosphere user interface.
Linux command line basics
This tutorial introduces you to the basics of the Linux command line.
Model Gateway basics
youtube: https://youtu.be/wAstsGTgWw
N-grams
In this lesson, we'll learn about n-grams and see how they can be used as general features to represent words and documents.
Named entities
This lesson provides an introduction to named entities (NEs).
Parts of Speech
This lesson provides an introduction to parts of speech.
Probability basics
Ambiguity and uncertainty abound in natural language. In this lesson, we'll learn the basics of probability which will help us to quantify that uncertainty.
Providing paper text to a model
Suppose you ask a model about a paper you've just read. It gives you a confident, detailed answer. Has it actually read the paper? What changes if you supply the text yourself?
Regular expressions (beginner)
In this lesson, you'll be introduced to regular expressions (regexes) and practice using this pattern language to identify spans of text.
RNNs for NLP
How might we represent a sequence while keeping track of what we've already seen? A recurrent neural network (RNN) updates a hidden state as it moves through the sequence. We'll follow those updates, connect them to PyTorch, and then look at gated RNNs and encoder-decoder...
SSH keys for Git
This tutorial introduces SSH keys for Git-based coursework.
State machines and regular expressions
In this lesson, we'll learn a little about the connection between regular expessions and state machines. You'll explore this topic in much more depth in LING 538.
Text normalization
This lesson provides an introduction to text normalization.
Tokenizing using regex
In earlier lessons, we introduced the idea of tokens and discussed some of their attributes. We devised some informal descriptions of the clues that signal token boundaries (ex. whitespace, contractions, etc.). In this lesson, we'll how to use regexes to tokenize...
Transformers for NLP
Suppose we're translating a story. The information we need for the next word may be somewhere in the source text, rather than in the last word we translated. How can a model revisit that information and decide what to use?
Using the UA HPC
This tutorial provides a crash course in using the University of Arizona's High Performance Computing (HPC) clusters.
Vector basics (beginner)
In this lesson, we'll learn about the components of vectors, as well as some basic vector operations.
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