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Articole: 30
  1. The most common mistake I encounter in practical data science work is a certain type of unwarranted complexity in model choice and deployment.

  2. Notes on Ensemble Smoothers

    Ensemble smoother algorithms are used to approximate a posterior distribution.

  3. I Norge har vi en svært god prosess for opptak til høyere utdanning.

  4. KI-billettkontroll

    Dersom 5% sniker på bussen i område A, og 2% sniker i område B - hvordan bør Ruter fordele billettkontrollørene sine?

  5. I started strength training in 2006.

  6. Optimal bus stop spacing

    Did you know that building new roads can increase traffic congestion in a city?

  7. Deltidsstillinger

    NRK har publisert en sak om overtidsregler for deltidsansatte, og skriver at det er fastlåste posisjoner mellom arbeidsgivere (NHO, KS, Virke og Spekter) og arbeidstakere (Fagforbundet og LO).

  8. Writing a savings calculator is a great programming exercise for beginners.

  9. Skatter og bidrag

    Denne artikkelen er et tankeeksperiment der vi skal endre det norske skatte- og bidragssystemet.

  10. Whether you’re solving differential equations, training neural networks, inferring parameters in a statistical model or solving optimization problems, you’ll find linear algebra at the core of almost every routine.

  11. Books

    Here’s an inspirational, and perhaps true, quote by Stephen Boyd: When you end up being trained in just a handful of areas, you can be unbelievably effective across fifty fields.

  12. Fastlegebytter

    Oppdatering: To dager etter at jeg skrev denne artikkelen ble jeg informert om innlegget “Enkelt å forbedre fastlegeordningen - med en algoritme” i Dagens Næringsliv.

  13. probabilit is a Python package for Monte Carlo modeling that I helped create.

  14. A Recipe for Curve Fitting

    Inspired by A Recipe for Training Neural Networks, here are some tips and tricks for curve fitting.

  15. I denne artikkelen skal vi gå gjennom betraktninger og metoder for å lage en lønnskalkulator for IT-utviklere.

  16. People rating people

    Ratings and rankings are everywhere in daily life.

  17. Hva kan jeg bruke matte til?

    Elever spør ofte “når får jeg bruk for dette?”

  18. Who’s the best bettor?

    A friend of mine is part of a group that arranges bets at their workplace.

  19. Fraværsgrensa

    Fraværsgrensa i videregående skole er på 10%.

  20. Hvordan fungerer en valgomat?

    Denne artikkelen presenterer matematikken bak valgomater.

  21. This is a translation of my Norwegian article about VAAs.

  22. Anta at to personer skal kjøpe en bolig sammen, men har ulik egenkapital og/eller ulik betalingsevne på boliglånet.

  23. Strømprisen har tatt stor plass i media de siste årene.

  24. Beer tasting

    In this article we’ll analyze data from a blind test.

  25. Papers read in 2024

    I try to read a few math books every year, but the more I learn, the more overlap I see in their content.

  26. NRK published a fun game on their website called “Former” (English: “Shapes”).

  27. The average value

    Presentation slides and video of a talk I gave about notions of averages (one-parameter models), loss functions and simple machine learning problems.

  28. Smooth taxes without brackets

    I recently implemented a calculator for Norwegian income tax, and it was harder than I anticipated.

  29. Arithmetic coding in Python

    Arithmetic coding is a lossless data compression algorithm.

  30. Turnusplaner for sykepleiere

    Det er mange triste saker om dårlige turnusplaner i media.