This looks like the new Google Lively.
And no one will use it.
1,229 karma · joined June 5, 2015
And no one will use it.
Also you should check out a book called Programming an RTS Game with Direct3D if you can find a copy: https://www.amazon.com/dp/1584504986/ref=cm_sw_r_cp_apa_i_BQ...
Ed Thorp is still alive and has written some interesting biographies. Check out A Man for All Markets if you are interested. The Physics of Wall Street is also a good overview of quantitative financial analysis.
Though your question is kind of getting at r-values and move semantics, which is a solution to prevent copying the temp value both when calling the function and in its execution. You can read about it because it will take too long to explain it here.
Thanks for the link! Though it looks too basic for me, I was hoping for something on the more advanced topics I mentioned.
That is an interesting question I had not thought of. I genuinely cannot think of a single resource that teaches good software engineering practices, like how to structure code in a robust and maintainable way. In fact, many books that I read usually include examples using terrible coding practices. And then the ones dedicated to software engineering are usually too out of date or academic (GoF, Fowler books).
I would say read up on inversion of control and dependency injection. And then a book on unit testing. Writing your APIs to use dependency injection and making them easily testable (by testing output not internal state) gets you most of the way there.
I am looking for something that goes beyond the standard calculus, linear algebra and stats material. For example, optimization, numerical analysis, stochastic processes, dynamical systems etc.
No doubt another failed tech bro pump 'n dump scheme headed to the dustbin of history.
https://www.amazon.com/Entropy-Demystified-Second-Reduced-Re...
Just saying.
Huh? SVMs don't perform better than NNs on less training data.
I'm sorry, but the rest of what you said is out of date and wrong. CNNs work better than SVMs for CV tasks. There's no reason to use SVMs anymore for CV, and no one in their right mind does.
But it makes me feel better about the second amendment.
There's no reason to use an SVM over a (C)NN nowadays though.
The size of that model will be determined by the number of weights used. Being that industrial automation will likely use CV, that will mean the potential for a lot of weights.
Same goes for any other non trivial use case.
So yeah, 1GB is paltry.
And economists have been writing code since PL/1.
You mean optimization techniques that don't work in the real world of finance?
Yeah, we are still headed for a downturn/correction/crash or what have you.
But valuable companies will continue to be.
Power through it.
Stop working so fucking hard on apps/websites/digital junk that helps no one, except by making your boss rich (be it manager, VC, or otherwise).
If you engage in meaningful work, then it is impossible to get burned out for too long.
Stop being a drone. Take a step back and look at the big picture and ask yourself: what am I coding for? Who is going to use this? Will it help anyone in any meaningful way?
What is "meaningful" is up to you. Just make sure it matters to you and own it. Don't let someone else own it and dictate it to you.
Set yourself free, and cast off the 24/7 toxic work culture of SV that's keen on producing useless shit for problems no one has. Don't let yourself be consumed by the entropy emamanting from startup land. You don't have much time on Earth. Don't give it to unworthy efforts and assholes.
This just seems like poorly written legislation with the purpose of pandering to the populist public. I guess if it makes you all at least feel better.
I just... I can't.
But the latter has always been an issue here. And there's still enough insight to keep me coming back.