I am curious. If what you described is a standard technique people can use, what prevents the recruiters/talent acquisition to, by default, discard resumes/CVs without exact dates?
I assure you it is a standard practice, but why would recruiters discard resumes without exact dates 'by default'? Because the assumption is that those people are 'old'?
That may answer the question for you, but ageism is a legal concern and disqualifying candidates because they didn't tell you when they graduated isn't dissimilar to asking someone how old they are in a job interview and refusing to hire them if they don't.
As someone who hires, I like to see dates because I want someone that has a track history of sticking around for a while. I don’t want to waste effort on someone that has a history of changing jobs every year or two. Dates help show that.
When I started my career as a programmer it was a bad sign if people didn't stay 5 years at least at a company. But these days hardly anybody stays longer than 2 years unless they're being paid exceptionally well. So it's no longer a terrible sign if someone doesn't last more than 2 years. It can actually be a bad sign if you work at a big company for 10 years because you're probably out of date because you focused only on their tech stack .
>> but they have plenty of cash to become part of a future platform for these people too
And don't forget: Facebook has been buying out every social media platform of any legitimacy (well, except Snap Inc.?) which might rise up to challenge it one day, especially at times like these.
With copious cash it has and no legitimate contender in sight, Facebook has a lot of time and opportunity to morph and adapt itself into a future platform.
I find this article's assessment kind of near-sighted, and naive.
Sweet! I have been looking for a good opportunity to build something with Rust in a domain I already know, and this looks like a right mix of everything!
I recommend Prandoni & Vetterli's coursera class on Signal processing[1].
They have really made an effort to teach this in an intuitive manner
instead of just throwing equations at you. This was the course where
I finally really understood Fourier transforms in a visual way.
The other course I recommend is the Audio Signal processing class by Xavier Serra[2]
This is a practical class with lots of hands on programming examples and introduction
to useful open-source software tools.
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