Reviews
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“Anything you want to learn, understand about AI, ML and Data Science this is the place to be!”
GeorgeShafik via Apple Podcasts ·
Australia ·
06/15/24
“No fluff. Getting into the details. There's no other podcast like this. Thank you for sharing!”Read full review »
Stealth912 via Apple Podcasts ·
United States of America ·
08/22/23
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“🤓The best hosts you can think of. Data professionals with emotional intelligence.
Super guests and great topics.
🌍On top there’s a world spanning network of Meetup groups!
You need to listen to this if you are in the data space”
Asmedegaardp via Apple Podcasts ·
Norway ·
03/11/23
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“There is so much MLOps stuff in this podcast that it fascinates me as to how I didn’t know about MLOps prior to 2021. MLops is basically cloud native ML engineering a.k.a “let us reinvent the ML wheel every year”. Design choices aren’t easy in the MLops world and this podcast gives your the right...”Read full review »
Mr. Nomadic Coder via Apple Podcasts ·
Great Britain ·
01/09/23
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“I am listening the podcast since a few months and it’s really useful for my job, with guests with good references . A go to for anyone interested by mlops”
Sara Mone via Apple Podcasts ·
Canada ·
01/05/23
“I’m a senior ML engineer who deals with a lot of MLOps related items since we don’t have a dedicated role for that on our team. This show (and the Slack community) have been great resources for inspiration and staying up-to-date on the constant evolution of tools and best practices. It’s very...”Read full review »
goalieagk via Apple Podcasts ·
United States of America ·
04/04/22
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“Long time listener, glad the show is going strong. 🦾
More generative art with ANNs in production, please! Looking forward to applying insights from Valerio Velardo episode in my genart collaboration for DEF CON AI Village”
bmorphism via Apple Podcasts ·
United States of America ·
04/03/22
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“Great story telling and tech stack review of the journey from data science to MLops platforms! Thanks for your work!”
bledem via Apple Podcasts ·
Japan ·
02/09/22
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“Great interviews that tease out everything you need to know regarding the MLOps tooling, best practices, and engineering culture required to execute successful machine learning operations!”
uber_gadgetz via Apple Podcasts ·
United States of America ·
10/08/21
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