Our Global Head of Investment Sciences Ryan Preclaw and Head of Research Data Science Adam Kelleher joined Mark Fleming-Williams’ Alternative Data Podcast to discuss how clients and financial services firms can use data science to meet their objectives. shows.acast.com/the-alternativ…

Python 3.11 is out! 🎉 This is one of the most exciting releases in a while, including significant speed upgrades and better error messages. Here's what's new:

Julia got me this great bird feeder that takes pictures and identifies birds! I’ve been loving it. This little one says hello! Their first tweet 😂 (it’s a tufted titmouse)

All the best examples of ChatGPT, from OpenAI:

Not to alarm anyone, but ChatGPT knows d3!

Decided to join econtwitter on Mastodon! Find me at @[email protected]

DoWhy 0.9 includes some exciting new extensions and features, including better sensitivity analyses, new identification algorithms, and more. I'm particularly excited to see so many new contributors joining in on this release! #causality #causalinf #causaltwitter

People have spent $x00,000 on education and decades of their life to be in the US with established families. They’re 90%ile+ taxpayers. Yet overnight, at the snap of a finger, 10,000+ families can be displaced. Full article: uscis.gov/newsroom/alert… 12/12

Hello, I've been using Matplotlib for 7+ years and I still google how to do everything except plt.plot()

Causal inference people, what are you using in practice for dealing with (potential) positivity/overlap violations? Do you try to detect positivity violations?

In 2018, "Parachute use to prevent death and major trauma when jumping from aircraft: randomized controlled trial" was published in the British Medical Journal. It sought to determine if wearing a parachute when jumping from a plane had any impact on survivability. It did not.

#RecSys2023 Full paper is due today, April 21. Call for short papers is still alive with abstract due on May 2 and full submission on May 9

So I knew that causal inference was a big part of data science but it wasn't until I started working (again) as a data scientist that I realized Most everything we do is causal and the question is not if we should be doing CI, but rather how much effort we should spend

So are notifications just more feed now?

i'm pretty cynical about ai but honestly every day an llm i'm working with does something that feels really magical

Inspired by a conversation here with Arpit Gupta and alz a few weeks ago, I wanted to show where Pearl's approach to modeling systems has not yet (but should) make a huge impact in DSGE and CGE modeling. open.substack.com/pub/akelleh/p/…

Reading some geometry (Coxeter) for my machining hobby, and came across a fun theorem:

How other folks like to keep their technical skills sharp? I feel like it's like squeezing a balloon -- working in one area lets skill in another atrophy.