I’ve tried to do my own research in determining whether or not i’d like to study ML in my CS masters program, I guess i’m not really understanding what would make this field remain relevant for the next 20 years? With ML tools becoming more accessible, will there be a need for specialized knowledge? I know what ML is currently used for, but what does it have potential to become?

  • PresentDelivery4277BEnglish
    1·
    1 year ago

    There will always be a need for specialized knowledge. Maybe take an introduction course to get an idea of whether you enjoy ML or not. You’ll at least get an overview, which is always useful to have, even if you don’t end up in the field. In the end the important thing is that if you end up specializing, that you enjoy it. There are plenty of other things to get into in CS if ML isn’t your thing.