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Emmanuel Ameisen - On production ML at Stripe scale, leading 100+ ML projects, iterating fast, and much more - #11
Manage episode 294668653 series 2838288
Content provided by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang 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://ro.player.fm/legal.
Having led 100+ ML projects at Insight and built ML systems at Stripe scale, Emmanuel joins the show to chat about how to build useful ML products and what happens next when the model is in production. Throughout the conversation, Manu shares stories and advice on topics like the common mistakes people make when starting a new ML project, what’s similar and different about the lifecycle of ML systems compared to traditional software, and writing a technical book.
55 episoade
Distribuie
Manage episode 294668653 series 2838288
Content provided by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang 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://ro.player.fm/legal.
Having led 100+ ML projects at Insight and built ML systems at Stripe scale, Emmanuel joins the show to chat about how to build useful ML products and what happens next when the model is in production. Throughout the conversation, Manu shares stories and advice on topics like the common mistakes people make when starting a new ML project, what’s similar and different about the lifecycle of ML systems compared to traditional software, and writing a technical book.
55 episoade
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