kimukasetsu

6 ms·

1. 1.▲
   Ask It No Questions: The Camera Can Lie (1990)(nytimes.com)

   2 points by kimukasetsu 3y ago|1 comments
2. 2.▲
   by kimukasetsu 3y ago

   As others have pointed out, it is a good idea to encode domain knowledge in your time series model through specification and priors. Prophet rarely beats a well specified GLM or SARIMA in real world applications, especially when uncertainty
3. 3.▲
   by kimukasetsu 3y ago

   The biggest mistake engineers make is determining sample sizes. It is not trivial to determine the sample size for a trial without prior knowledge of effect sizes. Instead of waiting for a fixed sample size, I would recommend using a sequen
4. 4.▲
   by kimukasetsu 3y ago

   I had a similar experience. I took psylocibin a few times, but after the last one I started getting panic attacks and feeling derealization quite often. This led to negative recurring thoughts and I felt really bad for a while. Got better a
5. 5.▲
   by kimukasetsu 4y ago

   I have a similar setup with Emacs + Evil + Poly + Quarto Modes. Evil for vim keybindings, Poly to read cells as buffers and Quarto as a superior alternative to Jupytext [1]. [1] https://quarto.org/
6. 6.▲
   by kimukasetsu 4y ago

   This. Multilevel models relax the assumption of independent observations by specifying that the measures of repeated experimental units are dependent on each other. It's a way of telling your model that it has less information than it
7. 7.▲
   by kimukasetsu 5y ago

   This. Copilot enables bad programming practices imo, especially through clunky APIs like pandas.
8. 8.▲
   by kimukasetsu 5y ago

   RMarkdown has neither of these issues, and it supports Python. It is baffling to me that most data scientists use Jupyter, since its diffs are meaningless. Its export options are very underwhelming compared to Rmd as well. Notebooks [1] are
9. 9.▲
   by kimukasetsu 5y ago

   I strongly agree with this. Not to mention parameter interpretability and, in the case of Bayesian models, uncertainty estimates and convergence diagnostics. Such things are very important when making decision under uncertainty. Kaggle comp