1,325 karma · joined July 15, 2011
1, 2, 3
1,2,3
[1,2,3]
1 2 3
etc.
Very odd sensation indeed.
Edit to add: I'm mostly interested in this aspect:
"The target audience of this tutorial includes [those] who are interested in [...] applying these models to solve other problems."
If you are making $191,950/year (the very top end of the 24% bracket for 2024) you will pay $39,110.50 in federal income tax, (before any deductions) for a net of $152,839.50. (You may notice that this is less than 24%) If you make an additional $1,000/year: $192,950, only the additional $1,000 is taxed at the 32% rate. Which makes your total federal income tax bill $320 more, and improving your net take-home to $153,519.50
Edit to add: I'm disappointed that sibling comments to mine are so degrading. We all had to learn this at some point.
As others in the thread have said, this may not be any better for my health than N2O, but it's still interesting nonetheless. Probably not something for every day.
If you pick an OS, I think there are generally good answers. In Windows, it's .NET and C# with Visual Studio as your IDE. On OSX, it's Swift/ObjectiveC and AppKit, with XCode as your IDE. For Linux? idk, is it the year of the Linux desktop yet?
What rule is that?
"For instance, if police put majority Black neighborhoods under intense police scrutiny and surveillance, they will be more likely than in other neighborhoods to make stops and arrests according to minor quality of life infractions. Therefore, derivative maps purporting to show where future crimes might be committed will disproportionately weigh those neighborhoods already living under the weight of intense police presence. This can create a self-fulfilling prophecy that uses the supposed objectivity of math to legitimize racially biased police procedures."
There is also a piece on other issues with license plate readers in particular.[1] I'd recommend the whole series if you're interested.[2]
[0]: https://sls.eff.org/technologies/predictive-policing
[1]: https://sls.eff.org/technologies/automated-license-plate-rea...
[2]: https://sls.eff.org/