Here you’ll find documents of varying technical degree covering things of interest to me, or which I think will be interesting to those I engage with. Generally you’ll find a mix of demonstrations on statistical and machine learning topics, programming, and data processing and visualization. Most focus on application in R as that’s what I used to primarily program with, but you’ll find plenty of Python demonstrations as well. Be aware that some of the content is a bit dated, but even if the programming aspects are a bit off, the concepts should still be relevant.
R for cats · and cat lovers
This is an introduction to R. I promise this will be fun. Since you have never used a programming language before, or any language for that matter, you won’t be tainted by other programming languages with different ways of doing things. This is good - we can teach you the R way of doing things.
Prompt Like a Data Scientist: Auto Prompt Optimization and Testing with DSPy | Towards Data Science
Applying machine learning methodology to prompt building
animations.dev
Learn the theory and practice behind great animations with this interactive learning experience.
Programming Sites for Technical Writers
Today, I’ll share some programming courses with you which help you to learn basic coding if it’s required by your work.
Teaching Programming for First-Year Data Science
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Drinking from the Firehose: Learning Computer Graphics Techniques and Programming
Graphics researchers waiting in the water fountain line at SIGGRAPH Yellowstone. Computer graphics as a field is broad, deep, complex, and intimidating. More than half a century of rapid progress driven by academic research and industry practices underly it. Parts delve pretty far into physics, math, signal processing, systems programming (and more). And performance is always at a premium—so simple, straightforward techniques are often not possible, and high-level programming abstractions not usable.
Coeffects: Context-aware programming languages
Interactive essay that explains theory of coeffects and lets you type-check and run sample programs.
AI Learning Resources & Guides from Anthropic
Access comprehensive guides, tutorials, and best practices for working with Claude. Learn how to craft effective prompts and maximize AI interactions in your workflow.
Let’s explore the universe of programming resources together
by Quincy Larson Let’s explore the universe of programming resources together There are a lot of free programming resources out there. Here’s a list of more than a thousand free programming books. Here’s a list of hundreds of free online university c...
The Welch Labs Illustrated Guide to AI [Digital Download] — Welch Labs
The Welch Labs Illustrated Guide to AI offers unique perspectives on artificial intelligence through hands-on exploration and richly detailed graphics that give readers a visceral understanding of how AI actually works. From the fundamental perceptron to cutting-edge AI video generation, each chapte
Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley · Issue 3.2, Spring 2021
The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses that emphasize computational thinking, inferential thinking, and the perspective gained by working on real-world problems. We believe that interleaving these elements within our core courses is essential to preparing students to engage in data-driven inquiry at the scale that contemporary scientific and industrial applications demand. This new curriculum is already reshaping the undergraduate experience at Berkeley, where these courses have become some of the most popular on campus and have led to a surging interest in a new undergraduate major and minor program in data science.
trycua/acu
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
Coding Club: a positive peer-learning community
Free and accessible tutorials on data analysis, manipulation, visualisation and more.
Josh W. Comeau
Friendly tutorials for developers. Focus on React, CSS, Animation, and more!
Mote: An Interactive Ecosystem Simulation — Peter Whidden