Benchtop tooling makes it so you literally can do medium-scale machine learning with no knowledge of computational math.
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But trying to move that off the laptop into prod? Welcome to needed 5 different specialties and a dozen tools.
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Google-scale orgs can hire specialists for each part of that process and it's nbd. Most orgs just dump that onto 1 or 2 folks.
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This is an unsustainable approach to obtaining at best marginal gains in customer experience, customer targeting and market knowledge.
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Speaker even just said we're 10 years behind modern software dev practices. I agree.
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I am interested in this talk. Share any links to slides/videos if you have em!
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It wasn't my talk and I'm not on the organizing team, you'll have to check PyData's website for it.
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yeah isn't it horrible? <sigh> I would say that there are some more mature bits of the ecosystem but on average <- beta level.
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Trying to get my bearings here. Please put "data science" into context. I see no context.
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some context in the thread. Plus I've not sure what's unclear.
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