Okay so I basically know fuck all about tech, but want to help build cool shit for Hexbear. Posting in !technology@hexbear.net because it has more subscribers.
With all the wrecker bullshit recently, I realized that if there are idiots willing to put this much work into spamming a shitposting site, then we've got something cool here and more of us should try to help.
Here's what I'm thinking:
- Learn to code enough we can help with shitty bugs so that better devs don't have to.
- Get better over time and then build some features.
- Maybe eventually even get less shitty jobs somewhere with these skills and improve our material conditions.
It would be cool if other comrades also wanted to try this with me because having that accountability would probably help me learn better.
I checked out !hexbear@hexbear.net and it looks like the front of the site is typescript / javascript? Back of the site is something call rust, which looks complicated.
I kinda know MySQL from a community college course before I dropped out of school and like a little html I guess.
I found these guides, but is there somewhere else we should start? Some kind of online course we could work through would be cool.
- Hexbear getting started guide
- https://basarat.gitbook.io/typescript/getting-started
- https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide
Update:
- The Modern JavaScript Tutorial (opensource): https://javascript.info/
- Kahn Academy: https://www.khanacademy.org/computing
- Watch and Code: https://watchandcode.com/
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I had an engineering post doc sit in on one of my introductory (graduate level) differential equations classes because he had trouble with much of the terminology and notation in control theory papers. It's kind of funny how large the blind spots in our education can be.
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Post docs are in academia, he was actively publishing in the same journals where he couldn't understand their notation.
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Does gradient descent count? They surely use that for optimising
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'Like this post? Others also liked these posts..:'
no, don't please
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I don't know if something so simple could be called "machine learning", but it involves a machine and it involves learning: Naive Bayesian Classifiers for spam detection.
It's really just basic Bayesian statistics once you think about it, but it works surprisingly well even with a small corpus of training data.
Little to none at agency level, I've plotted an integral a few times but it was all high school shit. At the tech end there's a lot happening but most of it boils down to Markov Chains and Linear Regression.