In this episode of the Data Exchange I speak with Pete Warden, Staff Research Engineer at Google. Pete is a prolific author and teacher, and he has made many important contributions across many open source software projects. To name just a couple of his projects: he put together the Data Science toolkit (open data sets and open-source tools for data science) and he assembled tools to help developers get started using deep learning, long before TensorFlow and PyTorch were available. Most recently, Pete has been focused on implementing machine learning in ultra-low power systems (TinyML).
Our conversation focused on TinyML and other topics including:
Detailed show notes, including a full transcript, can be found on The Data Exchange web site.
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