codesushi42

9 ms·

31.
by codesushi42 7y ago
Really? Were you around during the dotcom era? Although I'm not old enough, I've heard that OR in the 80s was the same crap.
32.
by codesushi42 7y ago
No you have it all wrong. Lyft, Uber, WeWork etc are burning money and failing spectacularly because they aren't software companies. They're too tied to traditional markets and their economics don't magically work out because
33.
by codesushi42 7y ago
Now that's one complex password, I'd imagine.
34.
by codesushi42 7y ago
Nothing to be ashamed of, congrats. But ML is likely to automate this away in less than 10 years.
35.
by codesushi42 7y ago
Your story is an inspiration. There seems to be a ton of opportunity in the devtools and RPA spaces. Thanks.
36.
by codesushi42 7y ago
BTW, you can just plug your stuff into Google Well, yeah, for something so rudimentary. Use a library. Nothing to see here.
37.
by codesushi42 7y ago
Take a course on discrete optimization. There's one on Coursera. Convex optimization is also useful if you care about optimizing convex functions. Which I bet you do.
38.
by codesushi42 7y ago
It seems like they are attempting to use a greedy algorithm on a problem which very obviously has local extrema. Yep. You'll end up with a lopsided allocation, with one or two allocations holding a very large percentage of the total
39.
by codesushi42 7y ago
What kind of insight did you want? Simply Google "portfolio optimization" and you will find many more interesting techniques. This is a basic LP problem that you'll come across in a textbook.
40.
by codesushi42 7y ago
Not very interesting. You see allocation problems solved all of the time in finance, and this blog post doesn't have anything new. I also doubt that it's optimal. An implementation using Hierarchical Risk Parity for instance would
41.
by codesushi42 7y ago
That's great, but I prefer to work with people who can teach me new tech knowledge.
42.
by codesushi42 7y ago
Sounds like a pain in the ass. It's already a huge pain dealing with know-nothings inside of tech firms. Now imagine having to cater to know-less-than-nothings somewhere else.
43.
by codesushi42 7y ago
Study stats and convex optimization. If you understand logistic regression and MLE, you're mostly there.
44.
by codesushi42 7y ago
I don't buy it. There are tons of software "engineers" who try to escape fintech for FAANGs or even startups, coming from top tier firms like Goldman and McKinsey. Likewise, bioinformatics generally pays a lot less than tradi
45.
by codesushi42 7y ago
ML on the edge.
46.
by codesushi42 7y ago
Indeed. Now all of the infrastructure is built. Oversaturated and consolidated. At least the game dev scene is vibrant, even if overcrowded.
47.
by codesushi42 7y ago
I don't know why I am being downvoted. Braid and The Witness are two of the best games I have ever played. And I've been playing games for 30 years now. Your tech talks are also awesome.
48.
by codesushi42 7y ago
The title says it all. The Internet used to be about building and sharing things. Then it turned into a giant and mindless message feed where everyone exposes everything about their private lives, intentionally or not. Now all of the hot ne
49.
by codesushi42 7y ago
I had to do a double take on your name. You are a genius and a god among us. Thank you for making the deepest and most beautiful games I have ever enjoyed.
50.
by codesushi42 7y ago
Chip's Challenge is the all time great. https://archive.org/details/chips_challenge_windows_3.x
51.
by codesushi42 7y ago
Pretty much. There are only five patterns that matter in real world software development. Observable Singleton Composition MVC Inversion of Control And the last one isn't even covered by GOF. The book is an out of date relic of 90s pro
52.
by codesushi42 7y ago
No. The authors are purposely obscure and arrogant. There are much better books to learn algorithms from. Even Elements of Programming Interviews is better. It is worth coming back to if you want to read proofs to understand things in depth
53.
by codesushi42 7y ago
The C Programming Language. And I am surprised no one mentioned Operating System Concepts (the dinosaur book). It was the most useful CS text I read in college. I see a lot of SICP love; I never had it for a college course, but it looks goo
54.
by codesushi42 7y ago
This is the last time I trust a product endorsement from the Angry Videogame Nerd.
55.
by codesushi42 7y ago
Nope. One easy fix. Send a verification email to users when a different device is detected before allowing log in. I mean, even Steam does this.
56.
by codesushi42 7y ago
It is an indicator. Not a rule. 100 vs 140 will be a very strong indicator. 100 vs 110 will not; I would not trust 110 to yield a better outcome 80-90% of the time, as GP claimed. Which is why the comparison of IQ scores at that coarseness
57.
by codesushi42 7y ago
And 140 vs 130 is a bit unfair That wasn't the point. I would say the same for 100 and 110. Some MENSA members in this thread seem very attached to their scores.
58.
by codesushi42 7y ago
LP is also covered in the Discrete Optimization course on Coursera: https://www.coursera.org/learn/discrete-optimization
59.
by codesushi42 7y ago
Courses on discrete and convex optimization should be required in every CS program. I don't know why they aren't. Most of modern ML just extends convex optimization techniques anyway.
60.
by codesushi42 7y ago
Having spent significant time in Switzerland, I can attest that no, it is not.

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