I was 100% in agreement with you up until "the left" part. Do you have any evidence that this is some sort of coordinated effort by this mysterious political group?
It’s literally the number one thing that those of my associates who identify as right wing universally agree on: there’s some kind of free speech apocalypse unfolding. They view this as censorship.
Why does watching a bank of green lights waiting for one to turn red and do first level triage and analysis require ML, isn't this just a bunch of rules?
I was over-simplifying to communicate the repetitive and dull nature of a job I'm very happy to no longer be doing. Really the game was more about "anomaly detection" and the sensor indicators/measurements were far more continuous than categorical, and their outputs had to be weighed against past experience and context of the monitored components.
Well, to start with, you have to use ML to train the computer vision system to recognize green and red lights. After that you update your resume with the ML experience you gained. :)
I want to ask a serious question about the ML, but your answer is great! My experience of anomaly detection, even with deep networks, is that recognition of the important anomalies can be done for some of them which means that you can raise a big flag for those - but someone still needs to sift through everything else.
I have KaiOS on a Nokia phone that I intended to use for email and 4g hotspot. I didn't expect much but it literally a POS, super slow, impossible to customize (i.e. hotspot quick launch), and no apps in the marketplace. It would be more usable with a pre symbian OS in my opinion. People that rave about KaiOS I figure are like that those that endless recommend SICP or 'Clean Code' as the book of gods and probably never read it.
Or in many cases they backhaul it around the world and pass it off where they have settlement-free peering. A exotic POP means little with HE unless they pick local transit too and manage to peer with eyeball networks directly.
