Halian Vilela
@halian.bsky.social
Software Engineer, Pharmacist and Math Enthusiast. Kind of Ex-Molecular Biologist. Elixir + DataScience + DataVis + R + Math
Reposted by Halian Vilela
Time once again for the best valentines
February 14, 2025 at 9:26 PM
Time once again for the best valentines
Reposted by Halian Vilela
"By relieving the brain of all unnecessary work, a good notation sets it free to concentrate on more advanced problems, and in effect, increases the mental power." – Alfred North Whitehead (1861–1947)
#quote #mathematics #math #maths #notation
#quote #mathematics #math #maths #notation
February 15, 2025 at 5:00 PM
"By relieving the brain of all unnecessary work, a good notation sets it free to concentrate on more advanced problems, and in effect, increases the mental power." – Alfred North Whitehead (1861–1947)
#quote #mathematics #math #maths #notation
#quote #mathematics #math #maths #notation
Reposted by Halian Vilela
Can confirm. Adding the F word to your google searches turns off AI summaries. E.g.:
"how do massively parallel reporter assays work?"
vs
"how do f*cking massively parallel reporter assays work?"
"how do massively parallel reporter assays work?"
vs
"how do f*cking massively parallel reporter assays work?"
February 1, 2025 at 10:51 AM
Can confirm. Adding the F word to your google searches turns off AI summaries. E.g.:
"how do massively parallel reporter assays work?"
vs
"how do f*cking massively parallel reporter assays work?"
"how do massively parallel reporter assays work?"
vs
"how do f*cking massively parallel reporter assays work?"
Reposted by Halian Vilela
If you are interested in the theory of causal inference, you may want to dive into Lorenz and Tull's excellent Causal Models in String Diagrams:
arxiv.org/abs/2304.07638
Here are some parts of the abstract you may want to read even if you're not (yet) into category theory or string diagrams:
1/4
arxiv.org/abs/2304.07638
Here are some parts of the abstract you may want to read even if you're not (yet) into category theory or string diagrams:
1/4
Causal models in string diagrams
The framework of causal models provides a principled approach to causal reasoning, applied today across many scientific domains. Here we present this framework in the language of string diagrams, inte...
arxiv.org
January 29, 2025 at 6:15 PM
If you are interested in the theory of causal inference, you may want to dive into Lorenz and Tull's excellent Causal Models in String Diagrams:
arxiv.org/abs/2304.07638
Here are some parts of the abstract you may want to read even if you're not (yet) into category theory or string diagrams:
1/4
arxiv.org/abs/2304.07638
Here are some parts of the abstract you may want to read even if you're not (yet) into category theory or string diagrams:
1/4
