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by sailingparrot
2405 days ago
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> but as of right now, you'd be among "2,647,287 already enrolled!" * Enrolling yourself in a free online course, does not, at all make you a ML expert. A very sizeable portion of those enrolled may not have gone further than the first chapter. * The ML train (as in people actually knowing ML) is not, at all, crowded * Even if the train was crowded, learning ML does not make you forget what you already know. Saying "I don't want to learn this skill because so many people already have it", just means there are that many people that now have one more skill than you (unless you decide to allocate this time to learning something else) |
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I often feel that learning something new takes such energy and mental rearrangement that it does crowd out what I already "know". The brain is a neural network whose weights are constantly being adjusted, just because you learned something at one point does not mean it is permanently there.
For example, I spent many years working in networking, but now that I've been out of that field for several years and working in embedded firmware and data, I would have to relearn much of what I "knew" in my old field in order to be professionally productive. And that's apart from the field itself advancing in ways I haven't kept up with.
It's like riding a reverse-steering bicycle. By learning something that's in direct competition with your existing neural structures, your neural structures change and you no longer "know" what you used to. Jump to 5:10 to see this person, who took 8 months to learn to ride a reverse bicycle, try to ride a straight bicycle: https://ed.ted.com/featured/bf2mRAfC