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:

The early days of using deep learning for computer vision
TensorFlow – Pete was part of the team at Google that originated TF.
What is TinyML and why is going to be an important topic in the years ahead.
Privacy and security in the context of TinyML.
Pete’s new book and accompanying video series on YouTube, both designed to help developers get started building TinyML applications.

Detailed show notes, including a full transcript, can be found on The Data Exchange web site.

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