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Measuring your ML impact with CodeCarbon

Episode #318, published Fri, May 28, 2021, recorded Wed, May 19, 2021

Machine learning has made huge advancements in the past couple of years. We now have ML models helping doctors catch disease early. Google is using ML to suggest traffic routes in their maps app that will lesson the amount of gasoline used in the trip. And many more examples. But there is a heavy cost for training machine learning models.

In this episode, you'll meet Victor Schmidt, Jonathan Wilson, and Boris Feld. They work on the CodeCarbon project together. This project offers a Python package and dashboarding tool to help you understand and minimize your ML model's environmental impact.

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Links from the show

Guests
Victor Schmidt: @vict0rsch
Jonathan Wilson: haverford.edu
Boris Feld: @Lothiraldan

CodeCarbon project: codecarbon.io
MIT "5 Cars" Article: technologyreview.com

Green Future Choice Renewable Power in Portland: portlandgeneral.com
YouTube Live Stream: youtube.com
Episode transcripts: talkpython.fm

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