A resource list for causality in statistics, data science and physics - looper/looper.md at v0.2.3 · msuzen/looper

Reviewing “On the Fringe,” Suman Seth uses 18th-century theories of putrefaction to show how flimsy the line between science and pseudoscience can be....

New analysis finds the explosive growth of cities is helping drive dangerous conditions

Computer Science Data Structures and Algorithms in JavaScript ( Node.JS, ES ) in simple, clean, reusable code - GitHub - i5ik/cs.js: Computer Science Data Structures and Algorithms in JavaScript ( ...

XGo is a programming language that reads like plain English. But it's also incredibly powerful — it lets you leverage assets from C/C++, Go, Python, and JavaScript/TypeScript, creating a un...

Link to: https://www.nytimes.com/2021/10/06/health/covid-vaccine-children-dose.html?searchResultPosition=1

Listen to this episode from Data Chatter on Spotify. There are two dominant programming languages used for data science nowadays - R and Python, each having its own set of loyal users. Both have their own strengths and weaknesses. In this episode, we look…

Today’s powerful but little-understood artificial intelligence breakthroughs echo past examples of unexpected scientific progress.

What is slow cooking?

SAN FRANCISCO — Are humans living in a simulation? Is consciousness nothing more than the firing of neurons in the brain? Or is consciousness a distinct entity that permeates every speck of matter in the universe?

I once saw an incredible lecture in Berkeley by a historian of science, one of the best talks I have ever seen. He started his talk sitting on the desk amongst a huge pile of physics textbooks from history, each in its day "the best textbook of its time."

Move over Pokémon – BMC SciCards are here. Inspired by the Pokémon collectible trading cards of their childhood, University of Toronto biomedical communications students Shehryar (Shay) Saharan and

Dirty data science machine learning on non-curated data - Download as a PDF or view online for free

Official Blog of MIT's Course 6.893 (taught by Scott Aaronson)

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach.

principles of library operations proposed by S. R. Ranganathan

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