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Active Learning in ML, DataPrepOps, Carbon footprint of AI systems | Jennifer Prendki

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Manage episode 336391770 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Jennifer Prendki is the founder and CEO of Alectio. They're pioneering the DataPrepOps space and building technology to help companies do Machine Learning more efficiently, in particular with less data. She's a keynote speaker and has spoken at most major conferences in the field. She has a PhD in Particle Physics and has built a phenomenal career.
In this episode, we talk about:
- DataPrepOps
- MLOps
- Data labeling
- Training datasets
- Carbon footprint of AI systems
- Active learning
- Online learning, continual learning, incremental learning

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 336391770 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Jennifer Prendki is the founder and CEO of Alectio. They're pioneering the DataPrepOps space and building technology to help companies do Machine Learning more efficiently, in particular with less data. She's a keynote speaker and has spoken at most major conferences in the field. She has a PhD in Particle Physics and has built a phenomenal career.
In this episode, we talk about:
- DataPrepOps
- MLOps
- Data labeling
- Training datasets
- Carbon footprint of AI systems
- Active learning
- Online learning, continual learning, incremental learning

  continue reading

171 episodes

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