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Scoop.it!
This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading the wikipedia article, got frustrated and gave up wishing someone would just give them a high-level explanation. That’s what this is. The goal is be accessible to anyone — which means that there’s a lot of generalizations. But who cares? If this gets anyone more interested in ML, then mission accomplished. 
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Scoop.it!
This technology is called face recognition. Facebook’s algorithms are able to recognize your friends’ faces after they have been tagged only a few times. It’s pretty amazing technology — Facebook can recognize faces with 98% accuracy which is pretty much as good as humans can do!
Farid Mheir's insight:
WHY IT MATTERS: facial recognition libraries have made it very simple to include the feature in any system. Read the article to understand how facial recognition works then jump to this other post to try out the actual code to do it. https://blog.paperspace.com/facial-recognition-using-deep-learning/
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Curated by Farid Mheir
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WHY IT MATTERS: this series of article present the fundamental technologies behind AI in a very simple and easy to understand way.