Other Helpful Resources for Implementation: Difference between revisions
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Back to [[Beginner's Guide to Computation in Statistical Research]] | Back to [[Beginner's Guide to Computation in Statistical Research]] | ||
== | == Productivity Tools == | ||
{| class="wikitable" | |||
|+ | |||
!Title | |||
!Description | |||
!Technical Level | |||
!Scope | |||
|- | |||
|[[ChatGPT and other LLMs]] | |||
|Overview of how to use LLMs for computing tasks | |||
|⭐⚫⚫⚫⚫ | |||
|Everything | |||
|- | |||
|[[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 | |||
* [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. | |||
* 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 05:17, 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 | ⭐⚫⚫⚫⚫ | Everything |
| 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.
