the average salary of PhD in machine learning in US is 106k$/year

the average salary of PhD in machine learning in US is 106k$/year
the average salary of java developers in US is 98k$/year
why would anyone study for 8 years just to make as much as someone that did a 7 day course?

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  1. 2 years ago
    Anonymous

    because you don't have to write for loops

    • 2 years ago
      Anonymous

      >what is training and validation loop

    • 2 years ago
      Anonymous

      ...is there more to programming than for loops?

      • 2 years ago
        Anonymous

        Languages with just for-loops are not string complete, you need a mu operator, i.e. unbound search,
        i.e.
        while(not P(x)) { ... }

        https://en.m.wikipedia.org/wiki/%CE%9C_operator

        My slightly less autistic answer is that, for better or worse, programming in practice, or at least "software engineering", is 75% interacting with team members, planning and management

        • 2 years ago
          Anonymous

          Turing compete

          autocorrect

    • 2 years ago
      Anonymous

      Deep learning is literally just a big for loop

  2. 2 years ago
    Anonymous

    I think it is about interest and passion. I'd gladly do PhD in ML/AI just because i like it. But sadly, i'm just a civil engineer who would pivot to Data/AI.

  3. 2 years ago
    Anonymous

    You don’t do a degree to have a job in ML/AI, you do a degree to have a job when the ML/AI bubble bursts.

    • 2 years ago
      Anonymous

      I dont know where you think there's a bubble but it's not happening any time in the next 5 years.

      • 2 years ago
        Anonymous

        It's not a bubble. It's literally just statistical modeling rebranded. It's been a field as long as computers have been around and are some of the fundamental problems that computers were created to solve.

        I think it’s a bubble because companies keep hiring or outsourcing shitbrains for actual AI development and even if miracles are possible they’re never going to happen because most people working in it are making AI look bad. Look up AI winters it’s happened like once a decade since the 50s

        • 2 years ago
          Anonymous

          >another AI winter is coming
          Doesn't really matter, those phd usually have sufficient background in advanced math and stats that they can do other jobs. They can be quants, business analysts, consultants, plain software engineers, actual scientists on some other applied domain, ...

          • 2 years ago
            Anonymous

            > Doesn't really matter, those phd usually have sufficient background in advanced math and stats that they can do other jobs.

            That’s literally what I said in what you were responding to

            You don’t do a degree to have a job in ML/AI, you do a degree to have a job when the ML/AI bubble bursts.

        • 2 years ago
          Anonymous

          I think a bubble is possible in 10+ years, but even large companies are still just learning about potential money to be extracted from their respective markets using ai/ml.

          There doesn't need to be a miracle, current capabilities which are in their infancy by all accounts are generating billions in revenue each year. Ai is only a part of that, but still contributes significantly.

          Personally, I'm doing well with just a bachelor's but if needed, I would get a masters in a related area. I dont think I could or would want to go for a phd.
          T.software engineer

      • 2 years ago
        Anonymous

        Look at the chart of Nvidia which sells AI training hardware

      • 2 years ago
        Anonymous

        It's a bubble because eventually all the people willing to buy Teslas eventually die in autopilot crashes

    • 2 years ago
      Anonymous

      It's not a bubble. It's literally just statistical modeling rebranded. It's been a field as long as computers have been around and are some of the fundamental problems that computers were created to solve.

  4. 2 years ago
    Anonymous

    >Working in ML
    >Set the training going, spend the rest of the day seeing who can spin their desk chair the fastest.

    >Working "in Java"
    >Have multiple roles because nobody's paying a full wage just for the shit the boss's nephew learned to do in school.
    >Spend all day reminding middle aged women how to use their email.

  5. 2 years ago
    Anonymous

    It's not only about money, you utter pleb

  6. 2 years ago
    Anonymous

    because i'd rather spend 8 years learning anything else than 7 days using java

  7. 2 years ago
    Anonymous

    You get to spend more time at school

  8. 2 years ago
    Anonymous

    what if you are above average? have you looked at the tails?

  9. 2 years ago
    Anonymous

    you don't need a phd. I make 100k with a bach

    • 2 years ago
      Anonymous

      I am about to graduate and have learned this the hard way. I wonder if I'm truly any "smarter" than anons without a PhD.

      • 2 years ago
        Anonymous

        Depends what your PhD is in. If you got a PhD in a foundational discipline like math or cs then yes you are smarter. If you got a “PhD” in “machine learning” (I.e. a subsubsubfield of statistics) then actually you’re way dumber than someone without a PhD.

  10. 2 years ago
    Anonymous

    Because 10 years later after that, you would be earning 300,000 bucks, while the Java developer is now outsourced to our favourite Asian country.

    • 2 years ago
      Anonymous

      this was bullshit 10 years ago and it's bullshit now

      web dev still pays a shitload if you're actually good, I know guys making 350k doing webdev a few years into their careers while I make 130k with an MSEE and about the same YOE

  11. 2 years ago
    Anonymous

    where 7 day course

  12. 2 years ago
    Anonymous

    ML work is unironically fun if you are creative and get to work with other creative people.

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