#318: Measuring your ML impact with CodeCarbon

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 28 May 2021

⏱️ 68 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

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.

Transcript

Click on a timestamp to play from that location

0:00.0	Machine learning has made huge advancements in the past couple of years. We now have ML models
0:04.4	helping doctors catch disease early. Google is using machine learning to suggest routes in their
0:09.2	Maps app that will lessen the amount of gasoline used in a trip and many more examples. But there's
0:14.1	also a heavy cost for training these machine learning models. In this episode, you'll meet
0:18.7	Victor Schmidt, Jonathan Wilson, and Boris Feld. They work on
0:22.3	the Code Carbon Project together. This project offers a Python package and dashboarding tool that will
0:27.9	help you understand and minimize your ML models' environmental impact. This is Talk Python to Me,
0:33.9	episode 318, recorded May 19th, 2021. Welcome to Talk Python to Me,
0:52.3	a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
0:57.2	This is your host, Michael Kennedy. Follow me on Twitter where I'm at M Kennedy, and keep up with the show and listen to past episodes at Talk Python.fm and follow the show on Twitter via at Talk Python.
1:08.3	This episode is brought to you by Square and us over at Talk Python Training.
1:12.6	Please check out what we're offering during our segments.
1:14.5	It really helps support the show.
1:16.7	When you need to learn something new, whether it's foundational Python,
1:20.1	advanced topics like Async, or web apps and web APIs,
1:23.6	be sure to check out our over 200 hours of courses at Talk Python.
1:28.3	And if your company is considering how they'll get up to speed on Python,
1:31.5	please recommend they give our content a look.
1:34.2	Thanks.
1:35.6	Boris, Victor, Jonathan, welcome to Talk Python to me.
1:38.7	Thanks for having us.
1:39.7	Glad to be here.
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Michael Kennedy, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Michael Kennedy and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.