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This is why Yelp turned to machine learning a couple of years ago when it first implemented its picture classification technology.

Yelp’s machine learning algorithms help the company’s human staff to compile, categorize, and label images more efficiently – no small feat when you’re dealing with tens of millions of photos.

Artificial intelligence and machine learning are among the most significant technological developments in recent history.

Since images are almost as vital to Yelp as user reviews themselves, it should come as little surprise that Yelp is always trying to improve how it handles image processing.

This means that companies with a strong emphasis on customer service and retention can leverage chatbots, even if they’re a tiny startup with limited engineering resources.

Of course, that’s not the only application of machine learning that Facebook is interested in.

Whether you’re a hardcore pinner or have never used the site before, Pinterest occupies a curious place in the social media ecosystem.

Since Pinterest’s primary function is to curate existing content, it makes sense that investing in technologies that can make this process more effective would be a priority – and that’s definitely the case at Pinterest.

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Language API set includes LUIS, Bing Spell Check, Web Language Model, Text Analytics, Translator Text, and Linguistic Analysis.

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