Other Helpful Resources for Implementation: Difference between revisions
From Stat DS Computing Wiki
No edit summary |
No edit summary |
||
| Line 12: | Line 12: | ||
|Overview of how to use LLMs for computing tasks | |Overview of how to use LLMs for computing tasks | ||
|⭐⚫⚫⚫⚫ | |⭐⚫⚫⚫⚫ | ||
| | | style="background-color: #44ee88;" |All Computing Tasks | ||
|- | |- | ||
|[[GitHub Copilot]] | |[[GitHub Copilot]] | ||
|Instructions for installing Copilot for your IDE. Copilot is an AI-powered code generation and editing tool. | | Instructions for installing Copilot for your IDE. Copilot is an AI-powered code generation and editing tool. | ||
|⭐⚫⚫⚫⚫ | |⭐⚫⚫⚫⚫ | ||
|Any code written in an IDE | | style="background-color: #44ee88;" | Any code written in an IDE | ||
|- | |- | ||
|[[Amphetamine]] | |[[Amphetamine]] | ||
|Tool for preventing your device from entering sleep mode while you are away | |Tool for preventing your device from entering sleep mode while you are away | ||
|⭐⚫⚫⚫⚫ | |⭐⚫⚫⚫⚫ | ||
|Personal devices | | style="background-color: #aaaa22;" |Personal devices | ||
|} | |} | ||
== CMU Courses == | ==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 | 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 | ||
* [https://36-750.github.io/ 36-750], 36-708, and 36-707 are required PhD courses that cover implementations of common statistical algorithms in code. | *[https://36-750.github.io/ 36-750], 36-708, and 36-707 are required PhD courses that cover implementations of common statistical algorithms in code. | ||
* [https://www.cs.cmu.edu/~nihars/teaching/10715Fa25.html 10-715] in the Machine Learning Department introduces students to common ML algorithms and their implementation in code. | *[https://www.cs.cmu.edu/~nihars/teaching/10715Fa25.html 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. | *Other courses pertaining to algorithms and software development can be taken depending on your specific research requirements and interest. | ||
== StatBytes == | ==StatBytes== | ||
[https://drive.google.com/drive/folders/1W1fkOW73dUCMVX-U-6gjMRrSMLXf4OYd?usp=drive_link Past Presentations] | [https://drive.google.com/drive/folders/1W1fkOW73dUCMVX-U-6gjMRrSMLXf4OYd?usp=drive_link Past Presentations] | ||
== External Resources == | ==External Resources== | ||
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.
