awesome-ai-residency
machine-learning-for-software-engineers
| awesome-ai-residency | machine-learning-for-software-engineers | |
|---|---|---|
| 7 | 2 | |
| 2,944 | 27,751 | |
| - | - | |
| 5.5 | 0.0 | |
| 4 months ago | 13 days ago | |
| - | Creative Commons Attribution Share Alike 4.0 |
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awesome-ai-residency
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ML Research New Grad
For bachelors, AI residency programs may be a good (though competitive) choice. https://github.com/dangkhoasdc/awesome-ai-residency
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GaTech MSCS - it's crap
MSCS students are not expected to do independent research at GT. They are expected to assist Ph.D. students. This reflects poorly when applying for graduate school. Therefore, you **must** go for a pre-doc program instead of GT. List - https://github.com/dangkhoasdc/awesome-ai-residency
- Wrong fit for quant?
- GitHub - List of AI Residency Programs
- [D] What makes you an extremely competitive applicant for a top-tier US AI/ML master program?
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[D] Internship after ML phd?
Usually in order to be an intern at a big company, they would ask for some proof that you are still a student (but I would check it with the company). Maybe a one year AI residency would be more suitable in your case (https://github.com/dangkhoasdc/awesome-ai-residency)
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How do I transition to AI research? (I have an MS in Physics)
There are specific programs for people like you: AI residencies. These are intended as fast-track programs to get people from other fields up to speed in AI research. I have no personal experience with them though, and would expect the application process to be extremely competitive. Essentially all of the large AI players have such programs: Google, Microsoft, OpenAI, NVidia, Intel, IBM, Facebook... just google (or duckduckgo) "AI residency + [company name]". They all have different entry requirements / preferred qualifications. Check out, e.g., this guidance. Here is another residency link list and here are some pointers on how to prepare for an application.
machine-learning-for-software-engineers
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