…anyone can get involved in Machine Learning on inexpensive devices without having to learn about cross-compilers, Python distributions, USB-Serial adapters or GPUs.
The article talks about increased accessibility and lower cost of ML and hypothesizes that ML will be “everywhere” (using smartwatches and smart light bulbs as examples). Beyond consumer products, O’Neill suggests that these advances will improve ML education saying:
I’m convinced tangible/tactile ML like this will engage people for far longer than “yes you’re right, it’s a cat”.
If you’d like to read more about ML on the NodeWatch check out theseposts. If you’re interested in learning more about the NodeWatch, check out the Kickstarter for bangle.js (NodeWatch) or the bangle.js website. If you’re interested in the implementation, take a look at the bangle.js app and repo, the bangle.js TensorFlow emulator or the Espruino repo.
Written by Rebecca Minich, Product Analyst, Data Science at Google. Opinions expressed are solely my own and do not express the views or opinions of my employer.
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