Join BetaNYC and the MTA Open Data team on June 5th at 9:30am to explore recently published MTA operating budget datasets. We’ll learn about the MTA’s open data program and conduct insightful analyses with their data.
Guys, it's happening... I think I'm officially getting older.. 🫠
Gone are the nights of 24/7 #gaming parties fueled with Monster and Red Bull (though I can definitely still pound them during late night #coding binges 🤗), and have given way to regularly having my #trading app open to watch my #stock investments and snag positions throughout the day/week...
Nowadays, I somehow seem to get off on #analytics data and stock charts... 🙈🙈
great_tables & gt are python & R packages to build great looking, useful, data display tables. What guides their design philosophy? Richard Iannone & Michael Chow explore the millennia of history that went into these packages' design.
I understand why people are against #tracking but what is the concern with #analytics? As a developer with less and less time to focus on personal projects, I find it incredibly useful to know if I develop a feature that basically never gets used because I can just drop that feature and save myself some time when it comes to maintaining that app, so then I can spend more time on things that actually get used to make sure they're rock solid and as good as they can be
#eWEEKChat A1: Very distributed, decentralized. Few have a holistic #Data strategy, let alone an #Analytics strategy. Some have a Data Management team, but even then mostly for integrity & governance, not #DataScience.
Here’s the question that should let you know I’m on mastodon forever:
Is there a #data and/or #analytics tool for mastodon demographics? Tootreach? Outside of how many active users we have? Or does that just essentially just kinda like…. ruin the organic joy of #mastodon.
I’m sorry if that falls into a newbie/irritating little cousin type of question, but inquiring minds… can’t use google effectively anymore
The terrible human toll in Gaza has many causes.
A chilling investigation by +972 highlights efficiency:
An engineer: “When a 3-year-old girl is killed in a home in Gaza, it’s because someone in the army decided it wasn’t a big deal for her to be killed.”
An AI outputs "100 targets a day". Like a factory with murder delivery:
"According to the investigation, another reason for the large number of targets, and the extensive harm to civilian life in Gaza, is the widespread use of a system called “Habsora” (“The Gospel”), which is largely built on artificial intelligence and can “generate” targets almost automatically at a rate that far exceeds what was previously possible. This AI system, as described by a former intelligence officer, essentially facilitates a “mass assassination factory.”"
"The third is “power targets,” which includes high-rises and residential towers in the heart of cities, and public buildings such as universities, banks, and government offices."
“Levy describes a system that has almost reached perfection. The political echelon wants to maintain the status quo, and the military provides it with legitimacy in exchange for funds and status.”
“Levy points out the gradual withdrawal of the old Ashkenazi middle class from the ranks of the combat forces[…]:
• the military’s complete reliance on technology as a decisive factor in warfare;
• the adoption of the concept […] of an army that is “small and lethal”;
• the obsession with the idea of #deterrence, which is supposed to negate the other side’s will to fight; and
• the complete addiction to the status quo as the only possible and desirable state of affairs.”