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Cake day: February 4th, 2024

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  • I’m not sure there are “entry level” NLP jobs that aren’t for sketchy startups without a future. I can’t imagine using openai APIs is a stable career as much as knowing how to make them.

    If you were a senior programmer, there are roles that don’t need so much math – DevOps, reliability engineering, cloud deployment, and systems administration are some keywords you can look up on LinkedIn. These are quite broad and would be available at basically any company with a website or app.

    Personally, I got an undegrad degree in applied mathematics and only kept going to school because the roles I wanted (ML development) required it. Your background in linguistics could certainly be useful for a team in which other people are the coding and math experts, but I do not come across those roles on LinkedIn very often outside of academia, which, unfortunately, require the degree.

    Its really good to hear that the Andrew Ng class is comprehensible to you, so I think you’re on the right track either way.

    In lieu of a degree, the only other thing I can suggest is building a portfolio online (GitHub, probably) and maybe contributing to an open source project. It will be very hard to find roles that don’t require you to know git and contribute to complex software projects, whether or not you have a degree.




  • Yeah. the CUNY one is definitely meant for career switching, but the Georgia tech one will probably expect you to know the math fields listed above as it is fairly competitive. Though, I know someone with an Economics bachelors who did quite well in the CUNY program. They even offer an introductory course for people with 0 programming experience. I really do think it would a good fit, given your background. Link here. A head’s up though-- graduate degrees will require more independent work than undergraduate did. Like, course meetings were less lectures explaining new content and more answering specific questions after you learn the content on your own. I was expected to have completed the homework before the topic was covered in class (though it wasn’t graded for correctness). I would say that’s the categorical difference with advanced degrees.

    I’d spend some time on Khan Academy to brush up/catch up on the basic math concepts. That’s where I learned those topics.

    I know you asked for some kind of personal interaction, but that content is the gold standard for math education. You can always ping me if you have specific questions and I’ll do my best to respond.


  • I work in the field. Generally, jobs that include AI development generally require advanced degrees and the vast majority require a PhD with peer reviewed publications in major conferences. You will be fighting an uphill battle if you don’t have an advanced degree in mathematics or computer science. You also need to know calculus, linear algebra and statistics to understand how modern machine learning models work.

    In short, while online courses can be perfectly effective, unless they’re through an accredited higher education institution, I don’t think it will help you compete with other applicants who have 8+ years of schooling and published papers.

    That being said, Georgia Tech and the City University of New York both offer master’s degrees in data science via remote master’s programs where the courses happen after work hours and are meant to be completed while working full-time.








  • You can install Plex on your mobile device and toggle the “share media from this device” setting. Otherwise, a steam deck would have everything an RPI has plus a GPU and a touch screen. Since there are two radios (2 and 5Ghz) on the device, you should be able to set it up as a bridge device, but I’ve not tried this personally.





  • I’m definitely not confused. Perhaps we have irreconcilable philosophical differences, but I’m certainly not confused by percentages.

    Personally, I would a 30% voter turnout as a damning indictment of the system, particularly when Switzerland was one of the last countries in Europe to legalize women’s right to vote and the right to gay marriage.

    For most of the US’s history, most people were simply not allowed to participate in that system and twice this century the winner lost the popular vote. How is it do hard to believe that someone would feel legitimately disenfranchised and frustrated by that system?