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A comment on A.I. will have implications for education, welfare and geopolitics (2016). Parent comment

Re:A.I. will have implications for education, welfare and ge... by mywittyname on Wednesday October 24, 2018 @05:43PM (#18296699)
> which is much harder than it was in 2016 due to increased competition, and the requirement for Masters/PhD nowadays

The requirement for most ML jobs in 2012 (when I graduated) was a Ph.D. I took literally every course on machine learning my university offered (six or so) as an undergrad with the hopes of landing an ML position when I graduated. I gave up on trying to find a position because they all required Ph.Ds.

I even had a solid portfolio, as I had successfully applied neural nets to solve a couple of problems by then. One involved real-time image processing and it was on github.

It seems much easier to get a job in the field now.

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Re:A.I. will have implications for education, welfare and ge... by sgondala2 on Wednesday October 24, 2018 @07:07PM (#18297249)
Why would you say it's easier now? Even now there's this requirement of PhD
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Re:A.I. will have implications for education, welfare and ge... by mywittyname on Thursday October 25, 2018 @02:24PM (#18303239)
The proliferation of libraries that make it trivial to do machine learning. I know plenty of professional data scientists with liberal arts/business degrees who never completed calculus.

I'd say the bulk of the data scientists I work with now are non-cs/math people. I work with some math/stats PhDs too, but they are outnumbered like 3 to 1.

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