Anon84

In their defense, this is from 2022 before tokens were popularized

Have you ever heard of social media? </s>

Seriously, though. That’s essentially what recommendation algorithms focused on maximizing engagement have done over the last 10-15 years or so

It may not matter. The ships that were supposed to be here, aren't. Even if the tariffs were lifted today, it would still take weeks for new orders to be shipped and delivered to the US. We're very much in the FO part of FAFO

A few years ago I worked on an empirical (twitter data) look at how English dialects change from place to place and how British and American evolved separately (based on Google Books): https://journals.plos.org/plosone/article?id=10.1371/journal...

</ShamelessPlug>

Speaking of treating population dynamics mathematically… compartmental models are still some of my favorites https://pypi.org/project/epidemik

Same with pink.

Not exactly Soviet, but Marsha and the Bear is awesome… and wholesome.

I'm working on my epidemic modeling package in Python: https://github.com/DataForScience/epidemik (also https://pypi.org/project/epidemik/).

Currently adding support:

- loading/saving models

- model library

- simple math in parameter definition (for example, defining beta=2*eta, where eta is defined previously)

- viral intra-host models

- demographics

- arbitrary seasonality functions

The goal is to have it all ready for when my Cambridge epidemic modeling review gets published in a couple of months.

It's my first serious package, so I would love any feedback

Let me chime in quickly, from the perspective of someone who worked for a few years on Twitter data (see https://scholar.google.com/citations?user=rtKaL18AAAAJ&hl=en...).

The Twitter API used to be extremely open way back in the day. This proved to be a boon for all kinds of social (and not so social) science research. In my mind, this was also one of the reasons for Twitter early growth as it made it trivial to build apps that interact with it. Over the years, the API got increasingly closed, making research in this area extremely difficult.

On the plus side, a decision like this can bring back the good old days of easy access for researchers. The down side, of course, is that it's almost impossible to define "researcher" in a way that prevents Cambridge Analytica like abuses from occurring again (not that the current owner is particularly interested in preventing them)

This is an example of the well known Modifiable Areal Unit problem: https://en.wikipedia.org/wiki/Modifiable_areal_unit_problem In general, your statistics depend on how you define your areas and you will get different pictures with different definitions.

  Location: NYC
  
  Remote: Yes

  Willing to relocate: No

  Technologies: Machine Learning, Python, LLMs

  Résumé/CV: https://bgoncalves.com/wp-content/uploads/2024/10/resume_goncalves_d4s.pdf

  Website: https://www.data4sci.com

  GitHub: https://github.com/DataForScience/

  Substack: http://data4sci.substack.com/

  Email: bgoncalves@gmail.com

Hi, I'm Bruno, a Data Scientist with a background in Physics (PhD) and Computer Science (M.Sc.) and 15+ years of experience in Data Science and Machine Learning. I have been an expert Python programmer with a focus on machine learning applications since 2005, and I'm currently looking for the next big project where I can make an impact. I am interested in full-time and/or contract opportunities.

As someone (I forget who), "God is not something you believe in. God is something you experience". In my view, any given religion is just the accumulated ways in which a specific group of people found to handle the aftermath of that experience.

Of course, the problem is that you get indoctrinated into a religion before you have a chance to experience It in the first place and end up mistaking the aftermath of the experience

The 2018 biopic is also absolutely gorgeous: https://www.imdb.com/title/tt3319730/plotsummary/

Location: NYC

  Remote: Yes

  Willing to relocate: No

  Technologies: Machine Learning, Python, LLMs

  Résumé/CV: https://bgoncalves.com/wp-content/uploads/2024/10/resume_goncalves_d4s.pdf

  Website: https://www.data4sci.com

  GitHub: https://github.com/DataForScience/

  Substack: http://data4sci.substack.com/

  Email: bgoncalves@gmail.com

A lot of the motional subsystems in your brain are turned off when you dream so you don’t react to things as you normally would. Nightmares, etc happen when those subsystems stay on for some reason (PTSD, for example). See Chap 10 (IIRC) https://amzn.to/3DzSLva

Fingers crossed that it ever gets finished

Consider it an early Christmas gift https://www.computerhistory.org/collections/catalog/10273872...

  Location: NYC

  Remote: Yes

  Willing to relocate: No

  Technologies: Machine Learning, Python, LLMs

  Résumé/CV: https://bgoncalves.com/wp-content/uploads/2024/10/resume_goncalves_d4s.pdf

  Website: https://www.data4sci.com

  GitHub: https://github.com/DataForScience/

  Substack: http://data4sci.substack.com/

  Email: bgoncalves@gmail.com

Hi, I'm Bruno, a Data Scientist with a background in Physics (PhD) and Computer Science (M.Sc.) and 15+ years of experience in Data Science and Machine Learning. I am an Expert Python programmer with a focus on Machine Learning applications since 2005 and I'm currently looking for the next big project where I can have an impact. I am interested in full-time and/or contract opportunities.

You probably did, but it wasn't called CoVID back then. I remember I had Chinese coworkers who were already forced to quaranteen when they went home around late Dec 2019.

In the beginning nobody knew what it was and it went through some name changes over the first few months. It the beginning (from what I remember) it was nCov19 (as in Novel Coronavirus). Eventually people figured out it was an off-shoot of SARS-Cov (from 2004) so it settled as SARS-CoV-2 and the respective cluster of symptoms/disease as CoVID-19 (CoronaVirus Infectious Disease).