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Joined 10 months ago
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Cake day: February 4th, 2024

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  • 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.









  • Right, but isn’t the “main chain” of Ethereum based on a similar principle wherein it’s the main chain because it’s the one the devs use?

    What about BTC vs BTC lightning.

    I’m genuinely failing to see a distinction here, and, again, the wiki article says that blockchains are special cases of Merkle trees.




  • simplymath@lemmy.worldtoPeople Twitter@sh.itjust.worksNone. Suffer.
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    3 days ago

    what? Git is very much distributed and while you can have a main branch, you can set as many up streams as you want and merge things sideways.

    It’s trust less in the sense that commits can’t be easily forged and are signed with cryptographic keys and identities-- as in, I don’t have to trust that the source code is genuine since I can verify the commit history myself.

    Consensus is just a pull request.

    That wiki article literally lists Bitcoin and Ethereum as implementations of Merkel trees.