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With the IoT market set to triple in size by 2020, and massive increases in computing power on small devices, the intersection of IoT and machine learning is a trend that all developers should pay attention to. This talk will cover three core use cases, including: how to manage sourcing data from IoT devices to drive machine-learned models; how to deploy and use trained models on mobile devices; and how to do on-device training with a Raspberry Pi computer.
Watch more IoT sessions from I/O '18 here →
See all the sessions from Google I/O '18 here →
Subscribe to the Google Developers channel →
#io18
Watch more IoT sessions from I/O '18 here →
See all the sessions from Google I/O '18 here →
Subscribe to the Google Developers channel →
#io18
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