DiscoverTalk Python To Me#318: Measuring your ML impact with CodeCarbon
#318: Measuring your ML impact with CodeCarbon

#318: Measuring your ML impact with CodeCarbon

Update: 2021-05-281
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Description

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.



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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#318: Measuring your ML impact with CodeCarbon

#318: Measuring your ML impact with CodeCarbon

Michael Kennedy (@mkennedy)