An introductory computer science course for students with little to no computing experience. Students will learn the core elements of programming in Python and will also receive a broad overview of ...

To use this trace, just keep clicking on the ``Make one step'' button. You can use the ``Finish this call'' button to skip to the step after finishing the current level. The call stack in the display ...

These are most of my research papers, grouped by rough subject classifications.

CMU researchers paired acoustic resonance sensors with machine learning to create a controller that is easier to manipulate than traditional models and could help people with limited fine-motor skills ...

Note: rule I is alpha conversion, rule II is beta reduction, and rule III is beta expansion.

We have a preprint: Accelerating Scientific Research with Gemini: Case Studies and Common Techniques arXiv with blog post . See also our First Proof results We ran an LLM-based feedback experimental ...

Introduction to Machine Learning, 10-301 + 10-601, Spring 2025 Course Homepage ...

This page works through an example of fitting a logistic model with the iteratively-reweighted least squares (IRLS) algorithm. If you'd like to examine the algorithm in more detail, here is Matlab ...

Before submitting your stories make sure they are in the standard manuscript format. This is described in many, many "How to Write" books -- and I strongly recommend that you read at least one such ...

SCS researchers have developed an AI-powered chatbot, PeerCoPilot, designed both with and specifically for people working in behavioral health. PeerCoPilot is a chatbot built to support peer-led ...

SCS senior Cole Christini has earned this year's Scott Robert Krulcik Scholarship in Computer Science. After Cole Christini experimented with the open-world computer game Minecraft as a kid, he went ...

This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group.