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ML/AI is very new field. I heard someone say "AI is like teenage sex. Everyone is talking about it but no one is sure how to do it" So for jobs, ML/AI is prett

ML/AI is very new field. I heard someone say "AI is like teenage sex. Everyone is talking about it but no one is sure how to do it" So for jobs, ML/AI is pretty much an even field unless there are niche research jobs which only requires Phd gradudates

richard___ 10y ago
According to another HN thread this is actually not true. Only having a certificate, without CS/AI undergrad, makes it almost impossible to get a job. You need Masters at least for most positions, some engineering positions you can get in with Undergrad in CS and taking the right AI courses.
- jayajay 10y ago
  Do people in the tech industry find any more value in physics/math undergrads than CS? CS is not as rigorous. I always thought that physics/math undergrad + ML certificate might be just as competitive as a masters in ML coming from a non-relevant BS
  - deleted 10y ago
    [deleted]
  - aerioux 10y ago
    I'm going to have to disagree. Physics/Math is useful but your particular field/speciality in CS is relevant as well. I would bet a bit more money on a CS grad to understand convexity, comp geometry and optimization than a physics grad, and math majors don't always have the code skills to develop things for production. Point of argument here being frequently neither do CS Phds and at tech companies you pair Math/CS Phds with 'production' engineers. Also certificates aren't really rigorous necessarily and also are quite easy to one-off versus relevant programs/theses/research experience. production is an overloaded term depending where you go
dliv 10y ago
It's quoted on the neural-redis README[1] and attributed to Mike Townsend[2]. [1]https://github.com/antirez/neural-redis https://github.com/antirez/neural-redis [2]https://twitter.com/Mikettownsend/status/780453119238955008 https://twitter.com/Mikettownsend/status/780453119238955008
- jupiter90000 10y ago
  And before that it was being used for big data. http://techcitynews.com/2014/08/07/big-data-is-a-lot-like-teenage-sex/ http://techcitynews.com/2014/08/07/big-data-is-a-lot-like-te...

richard___ 10y ago

According to another HN thread this is actually not true. Only having a certificate, without CS/AI undergrad, makes it almost impossible to get a job. You need Masters at least for most positions, some engineering positions you can get in with Undergrad in CS and taking the right AI courses.

jayajay 10y ago
Do people in the tech industry find any more value in physics/math undergrads than CS? CS is not as rigorous. I always thought that physics/math undergrad + ML certificate might be just as competitive as a masters in ML coming from a non-relevant BS
- deleted 10y ago
  [deleted]
- aerioux 10y ago
  I'm going to have to disagree. Physics/Math is useful but your particular field/speciality in CS is relevant as well. I would bet a bit more money on a CS grad to understand convexity, comp geometry and optimization than a physics grad, and math majors don't always have the code skills to develop things for production. Point of argument here being frequently neither do CS Phds and at tech companies you pair Math/CS Phds with 'production' engineers. Also certificates aren't really rigorous necessarily and also are quite easy to one-off versus relevant programs/theses/research experience. production is an overloaded term depending where you go

dliv 10y ago

It's quoted on the neural-redis README[1] and attributed to Mike Townsend[2]. [1]https://github.com/antirez/neural-redis https://github.com/antirez/neural-redis [2]https://twitter.com/Mikettownsend/status/780453119238955008 https://twitter.com/Mikettownsend/status/780453119238955008

jupiter90000 10y ago
And before that it was being used for big data. http://techcitynews.com/2014/08/07/big-data-is-a-lot-like-teenage-sex/ http://techcitynews.com/2014/08/07/big-data-is-a-lot-like-te...