Google’s AIY Projects kits bring Google’s machine learning algorithms to developers with limited experience in the field, allowing them to prototype machine learning applications and smart hardware more easily. The first Google AIY Projects kits were made available free on the cover of the MagPi, the official Raspberry Pi magazine. They proved to be so popular that the magazine sold out in a matter of hours. The original Voice Kit allowed you to prototype basic but still useful voice interfaces for machine learning applications on the Raspberry Pi.
Alasdair Allan walks you through setting up and building the kits and demonstrates how to use the kits’ Python SDK for machine learning both in the cloud and locally on a Raspberry Pi.
Alasdair Allan is a scientist and researcher who has authored more than 80 peer-reviewed papers and eight books and has been involved with several standards bodies. Originally an astrophysicist, Alasdair now works as a consultant and journalist, focusing on open hardware, machine learning, big data, and emerging technologies, with expertise in electronics, especially wireless devices and distributed sensor networks, mobile computing, and the internet of things. He runs a small consulting company and has written for Make: magazine, Motherboard/VICE, Hackaday, Hackster.io, and the O’Reilly Radar. In the past, he has mesh-networked the Moscone Center, caused a US Senate hearing, and contributed to the detection of what was at the time the most distant object yet discovered.
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