The underlying problem with your hypothesis is that new ideas of deep learning keep being discovered. Andrew Ng's course is already woefully out of date. One could have a career on tuning GAN's for stock market sentiment via new attention mechanisms.
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Could they tho
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I think in 5 years ML will be a standard software component, which means that we need a lot more ppl who know how to deploy models. Apart from SWE, the demand Data & ML/DS skills is growing in all fields, ranging from data driven research all the way to business intelligence.
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Agreed here. Machine Learning will be like the JavaScript hype right now.
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There already is an overflow of these skills. Open a data scientist position and you get hundreds of applicants fresh out of a MOOC. The problem is that these are not the skills most companies need, they need someone who knows how to bring ML to production
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It's gotten to a point where I think that only my generation of data scientists was able to acquire these skills. Relevant:https://veekaybee.github.io/2019/02/13/data-science-is-different/ …
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There’s a report that by 2030 we’ll have a shortage of millions of workers in the Tech Industry. Interesting fact, it’s 2020, and we have a SHORTAGE OF MILLIONS OF WORKERS IN THE TECH INDUSTRY. If you’re afraid of an overflow, I say bring it on, that’s the best problem to have
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no we don't. tech workers are just unproductive
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isn't there already a surplus of data scientists (of which i'd consider AI/ML a subset) relative to available positions?
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As someone who hires data scientists with ML skills, my experience is that folks who pass my team's hiring bar are actually really hard to find. There are lots of people with these items on their resumes, but far fewer qualified candidates, from what I've seen...
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Čini se da učitavanje traje već neko vrijeme.
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