216 Matching Annotations
  1. Feb 2025
  2. Sep 2024
  3. Jul 2024
  4. Jan 2024
    1. You know XGBoost, but do you know NGBoost? I'd passed over this one, mentioned to me by someone wanting confidence intervals in their classification models. This could be an interesting paper to add to the ML curriculum.

  5. Nov 2023
  6. Oct 2023
    1. parameterizedvariants of SCMs such as the neural ones presented in (Xia et al., 2021

      to read: this sounds interesting

  7. Sep 2023
  8. Aug 2023
  9. Jul 2023
  10. May 2023
  11. Apr 2023
  12. Mar 2023
  13. hannesbajohr.de hannesbajohr.de
    1. via Lars Weisbrod, Christoph Kappes https://graz.social/@larsweisbrod@det.social/110045496956262612

  14. Dec 2022
  15. Nov 2022
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  17. Aug 2022
  18. Jul 2022
    1. The Tiger: A True Story of Vengeance and Surival by John Vaillant Holy shit, this book is good. Just holy shit. Even if it was just the main narrative–the chase to kill a man-eating Tiger in Siberia in post-communist Russia–it would be worth reading, but it is so much more than that. The author explains the Russian psyche, the psyche of man vs predator, the psyches of primitive peoples and animals, in such a masterful way that you’re shocked to find 1) that he knows this, and 2) that he fit it all into this readable and relatively short book. You may have heard about the story on the internet a while back: a tiger starts killing people in Russia and a team is sent to kill it (Russia is so fucked up, they already have a team for this). At one point, the tiger is cornered and leaps to attack the team leader…and in mid-air the soldier’s rifle goes into the tigers open jaws and down his throat all the way to the stock, killing the tiger at the last possible second. The autopsy later revealed that the tiger had been shot something like a dozen times during its life and lived. The story is very similar to that of the Tsavo maneaters, which was turned into the underrated Val Kilmer movie The Ghost and the Darkness. There are all sorts of well-selected threads from evolutionary psychology and biology in this book and it makes the book a self-educator’s dream. You can pick and choose which ones you want to follow next–trusting safely that the author has pointed you in an interesting and valuable direction. But that’s just the meta-stuff that is a bonus with this book, and it’s worth pointing out only because the rest of the book is just so fucking interesting and exciting.

      Such an awesome book #toread

  19. May 2022
  20. Apr 2022
  21. Mar 2022
    1. The Assault on EmpiricismFrom crime to climate change, the hostility of ‘movements’ to data is making it impossible to address real-world problems
    1. Earned Legitimacy Learning Cohort How governments are rebuilding trust with communities
    1. All Too HumanThe powerful are subject to the same flaws and follies as the rest of us.
  22. Feb 2022
    1. Effect of Offering Care Management or Online Dialectical Behavior Therapy Skills Training vs Usual Care on Self-harm Among Adult Outpatients With Suicidal Ideation: A Randomized Clinical Trial
    1. Eyes on Evidence II 31 January, 2022 An assessment of the transparency of evidence usage in the Government of Canada
  23. Jan 2022
  24. Dec 2021
    1. Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results
  25. Nov 2021
    1. GTAA Season 3 Episode 17: Slavoj Žižek on Communism (& Kant Was Not a Critical Race Theorist)
  26. Oct 2021
    1. Blog post - OA Switchboard’s self-assessment of the Principles of Open Scholarly Infrastructure (POSI)
  27. Sep 2021
  28. Jun 2021
    1. But I like Zendegi for almost the opposite reasons; it’s full of lots of serendipitous things that could easily have been different
  29. May 2021
    1. TED CHIANG: So there’s this computer programmer named Steve Grand. And he wrote a book called “Creation,” which is partly about artificial intelligence, but I guess partly about artificial life. That book, I think, sort of made the most convincing case, I thought, for if we’re going to actually create something that merits the term of being a living thing in software, I feel like sort of the ideas in that book are the ones that I think are most promising. So I guess I’d recommend that.
    1. This point is made beautifully in another favorite book of mine, A Computer Scientist’s Guide to Cell Biology, by William W. Cohen:
    2. One of my favorite books is called The Machinery of Life, by David Goodsell.
  30. Mar 2021
  31. Oct 2020
  32. Feb 2020
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  34. Dec 2019
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  40. Apr 2019
  41. Mar 2019