Worth doing MS in ML/AI at 16 yoe?

Feb 23, 2020 15 Comments

I have been a good programmer most of my career and also a good manager. Done cloud computing, big data, C and Java etc.
Sharp increase in the stability of cloud computing seems a bit scary to me as the same has increased profoundly in the last 5 years.
Azure/GCP now sell a lot of big data products as commodities!

To keep up with the tide, does it make sense to do an MS in ML/AI at this point from a reputed university? I do not want to start as a fresher in this domain but am also afraid that zero experience in this field will go against me even if I do MS now.

Also, most ML/AI engineers seem unhappy as they complain about data cleaning and generating test data for model training which is much less interesting than actual algorithms of ML/AI.

#machinelearning #ai #cloud #bigdata

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TOP 15 Comments
  • Remitly / Eng
    mavrorange

    Go to company page Remitly Eng

    mavrorange
    A thing I have noticed is that if you can mix clean data management with a tiny bit of ML skill you can pretty much write your fucking ticket
    Feb 23, 2020 0
  • Yes, but ai ml will itself be completely automated in a few years.
    Feb 23, 2020 7
    • Yes, but once you build it you have made the moat less harder to crack. I believe this can be made as simple as using excel sheets. Even clerks will be using ml ai without even realising it in 4 years. All new development will be incremental and not groundbreaking.
      Feb 23, 2020
    • Sigh. People have been saying this for 20 years. I work in this space. I’ve even been on the side of the table of “selling black-box ML tools” to customers (as part of doing R&D product research). There is tons of marketing BS, and I’d be more willing to bet on the next “AI winter” coming before this eternal AI summer you’re describing.
      Feb 23, 2020
  • Definitely worth moving to AI/ML. Is it worth it to go get an MS for it? At 16YOE, you could learn on the job, just parlay your experience into working *closer* to ML, and teach the younglings there good eng practices while learning ML.

    Much like CS in general, what you learn in a few years of school for ML pales in comparison to what you learn working on production ML systems.

    ML engineering is hard, but rewarding, cutting edge, and if you are good, pays bank.

    - 15+ YOE ML Engineer with a good chunk of that hiring data scientists and ML engineers
    Feb 23, 2020 0
  • Google
    yoyomaaa

    Go to company page Google

    yoyomaaa
    Tons of great schools have executive MBAs. Just comes down to where you can get in really.
    Feb 23, 2020 0
  • Doing an mba may catapult ur career better.. 16 yoe.. n that too with managerial exp
    Feb 23, 2020 0