Machine learning products + IoT data = a smarter planet (Google I/O &#3918)

With the IoT industry set to triple in sizing by 2020, and substantial improves in computing electric power on small units, the intersection of IoT and machine learning is a development that all builders really should spend interest to. This discuss will deal with three core use scenarios, such as: how to manage sourcing details from IoT units to drive device-uncovered products how to deploy and use skilled designs on mobile gadgets and how to do on-gadget education with a Raspberry Pi pc.

Fee this session by signing-in on the I/O web page here → https://goo.gl/rYcGev

View additional IoT periods from I/O ’18 right here → https://goo.gl/xfowJ8
See all the classes from Google I/O ’18 in this article → https://goo.gl/q1Tr8x

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#io18 celebration: Google I/O 2018 re_ty: Publish product or service: Cloud – Internet of Things (IoT) – IoT Main, Cloud – Facts Analytics – PubSub, Cloud – Containers – Google Kubernetes Motor (GKE), TensorFlow – General, Cloud – AI and Machine Learning – AI Platform fullname: Laurence Moroney, Kaz Sato celebration: Google I/O 2018

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