sometimes the tricky part is getting the attention from coworkers and the Management. if they don't know anything about ML and are scared from the 'obscure mathy things' they'll keep saying "keep the things easy", and you'll never be allowed to show the potential of ML. how sad.
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Think about the opposite mindset. Management thinks ML can solve perfectly every problem without taking into account the limitations or what is need to have a good enough solution.
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Will be stealing this and passing it off as my own
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Yes!!!
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What do you think about consultants/trainers helping organizations to acquire that knowledge or contractors helping to get things done (one-time projects)? I'm considering to quit my job at a big co., & that could be a way to survive. The feasibility isn't looking good, though…
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I can't answer for him, but I wouldn't think even a few contractors could help to drive company culture and mindset. I don't think it would hurt to get some people from outside the corporate echo chamber or maybe at the start. But in the fortune 100 world change is tough. :/
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Perfect make sense. Different times different problems hence repeatable model useless . ML Engineer should have powerful mathematics/statistics knowledge to strike which algorithm to apply for right problem is key to success however Tensor-flow/Keras makes ML engineer life easier
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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It’s about people, after all
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Riiight
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Megaphone this out for the marketing/sales team to hear. All I see across startup pages is Machine Learning, AI, big data , machine big,
pic.twitter.com/fjUNUBa7MIHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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