Other Helpful Resources for Implementation: Difference between revisions
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Revision as of 05:21, 27 March 2026
Back to Beginner's Guide to Computation in Statistical Research
Productivity Tools
| Title | Description | Technical Level | Scope |
|---|---|---|---|
| ChatGPT and other LLMs | Overview of how to use LLMs for computing tasks | ⭐⚫⚫⚫⚫ | All Computing Tasks |
| GitHub Copilot | Instructions for installing Copilot for your IDE. Copilot is an AI-powered code generation and editing tool. | ⭐⚫⚫⚫⚫ | Any code written in an IDE |
| Amphetamine | Tool for preventing your device from entering sleep mode while you are away | ⭐⚫⚫⚫⚫ | Personal devices |
CMU Courses
The CMU Department of Statistics and Data Science provides a number of courses that will walk through many of the basic steps of building research workflows using code
- 36-750, 36-708, and 36-707 are required PhD courses that cover implementations of common statistical algorithms in code.
- 10-715 in the Machine Learning Department introduces students to common ML algorithms and their implementation in code.
- Other courses pertaining to algorithms and software development can be taken depending on your specific research requirements and interest.
