I’m very happy to see that the industry has moved away from the blockchain hype. AI/ML hype at least useful even if it is a buzzword for most places
So true.
With LLMs, I can think of a few realistic and valuable applications even if they don’t successfully deliver on the hype and don’t actually shake the world upside down. With blockchain, I just could never see anything in it. Anyone trying to sell me on its promises would use the exact words people use to sell a scam.
The biggest problem is that even OP is unaware of what is really being skipped: math, stats, optimization & control. And like at a grad level.
But hey, import AI from HuggingFace, and let’s go!
Where’s discrete mathematics?
Math? I write code, that’s words bro. Why would I ever need math?
This is sadly how a lot of Computer Science students think nowadays.
I think the problem is that they are trying to teach math to generalists where in front of them are students formed to understand programmatical problems.
Where the problems be restructured to a programatical problem, then it would work far far better.
Mathematical exercises aim to solve 1 problem with 1 given set of parameters, programatical exercises aim to solve 1 problem with ANY given sets of parameters.
And that’s what made me loose interest in math during my CS years.
Mathematical exercises aim to solve 1 problem with 1 given set of parameters
Maybe you just had some really bad teachers, but I couldn’t disagree more. A big part of maths is proving statements that hold very generally (and maybe making it even more abstract, e.g. applying it to anything you can add and multiply instead of just real numbers). It kind of starts when your answers start being formulas instead of numbers but it goes much further
The worst part of ML is Python package management
Accurate if the top of the staircase was out of order and they just went crashing back down
