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Machine learning increasingly affects our digital lives—from recommending music to translating foreign phrases and curating photo albums. It’s important for everyone using this technology to understand how it works, but doing so isn’t always easy. Machine learning is defined by its ability to “learn” from data without being explicitly programmed, and ML-driven products don’t typically let users peek behind the curtain to see why the system is making the decisions it does. Machine learning can help find your cat photos, but it won’t really tell you how it does so. Last October, Google's Creative Lab released Teachable Machine, a free online experiment that lets you play with machine learning in your web browser, using your webcam as an input to train a machine learning model of your very own—no programming experience required. The team—a collaborative effort by Creative Lab and PAIR team members, plus friends from Støj and Use All Five—wanted people to get a feel for how machine learnin

Play with AI - No Coding, Train Your Own Model Skip to content 0 results Designing (and Learning From) a Teachable Machine UX insights on designing simple, accessible interfaces for teaching computers Machine learning increasingly affects our digital lives—from recommending music to translating foreign phrases and curating photo albums. It’s important for everyone using this technology to understand how it works, but doing so isn’t always easy. Machine learning is defined by its ability to “learn” from data without being explicitly programmed, and ML-driven products don’t typically let users p

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