samuel2

6 ms·

1. 1.▲
   Naismith's Rule(en.wikipedia.org)

   21 points by samuel2 3mo ago|0 comments
2. 2.▲
   Marginal likelihood is exhaustive leave-p-out cross-validation(belko.xyz)

   1 points by samuel2 4mo ago|0 comments
3. 3.▲
   Runic.jl A code formatter with rules set in stone(github.com)

   2 points by samuel2 9mo ago|0 comments
4. 4.▲
   Port of Statistical Rethinking (2nd edition) code to Julia(shmuma.github.io)

   3 points by samuel2 9mo ago|0 comments
5. 5.▲
   My Summary of the Meditations of Marcus Aurelius – (22 Stoic Principles) [video](youtube.com)

   1 points by samuel2 10mo ago|0 comments
6. 6.▲
   How AGI became the most consequential conspiracy theory of our time(technologyreview.com)

   88 points by samuel2 11mo ago|94 comments
7. 7.▲
   by samuel2 11mo ago

   Reminds me of Julia's Pkg manager and the way Julia packages are managed (also with a .toml file). That's the way to go!
8. 8.▲
   Lenses in Julia(juliaobjects.github.io)

   141 points by samuel2 11mo ago|66 comments
9. 9.▲
   by samuel2 2y ago

   Cool idea! Thanks for the hint, I would have not thought of that.
10. 10.▲
    by samuel2 2y ago

    yes, geospatial could be interesting. The tools depend on what the university / lecturer prefers, for me it was Julia for programming in math courses, JuMP.jl for optimization modeling, Python for ML courses.
11. 11.▲
    by samuel2 2y ago

    I think cross-specializing with physics of energy might be quite cool. Then I could work on problems such as, e.g., - optimizing the placement of wind turbines to maximize energy capture - determining the optimal size and type of solar pane
12. 12.▲
    by samuel2 2y ago

    Thanks for the comment!
13. 13.▲
    Ask HN: Is Operations Research still a thing?

    14 points by samuel2 2y ago|10 comments
14. 14.▲
    Plausible Fiction – David Spivak(topos.institute)

    7 points by samuel2 2y ago|0 comments
15. 15.▲
    Modern Julia Workflows(modernjuliaworkflows.github.io)

    2 points by samuel2 2y ago|0 comments
16. 16.▲
    by samuel2 3y ago

    thanks
17. 17.▲
    Ask HN: Getting into Energy Industry with Math Background

    2 points by samuel2 3y ago|2 comments
18. 18.▲
    by samuel2 4y ago

    Probably the most elegant math book I have ever seen is Probabilty theory a graduate course by Achim Klenke. A very nice exposition into the abstract, measure theoretic prob. thoery (but it assumes some prior knowledge).
19. 19.▲
    by samuel2 4y ago

    If you are into numerical optimization, a nice source of intersting problems and examples (that e.g. contradict the intuition) can be found in Mathematical Tapas: Volume 1 and Vol. 2.
20. 20.▲
    by samuel2 4y ago

    Intersting comment, but I think there might be fluctuations around a growing overall demand.
21. 21.▲
    by samuel2 4y ago

    Would Rust be worth learning for implementing (numerical) optimization algorithms?
22. 22.▲
    Launch of Proton Drive, the encrypted cloud storage for everyone(proton.me)

    7 points by samuel2 4y ago|0 comments
23. 23.▲
    The dual PhD problem of today’s startups (2020)(techcrunch.com)

    1 points by samuel2 4y ago|0 comments
24. 24.▲
    by samuel2 5y ago

    well said, thx for your comment
25. 25.▲
    by samuel2 5y ago

    thanks!
26. 26.▲
    by samuel2 5y ago

    thanks for your insights!
27. 27.▲
    by samuel2 5y ago

    cool, thanks
28. 28.▲
    by samuel2 5y ago

    Thank you a lot!
29. 29.▲
    Ask HN: Literature for mathematical optimization?

    95 points by samuel2 5y ago|38 comments
30. 30.▲
    by samuel2 5y ago

    This stuff seems to be very powerful! Many applications stem from a simple observation: if two activities must be performed consecutively then the time required to complete both is the sum of the individual times, but if they may be perform