The MLOps Podcast

32 Episodes

1. 📈 You Have Too Much Data with Dean Langsam

   Published: 9/16/2022
2. 🏗 Reasonable Scale MLOps with Jacopo Tagliabue

   Published: 8/22/2022
3. 🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas

   Published: 7/18/2022
4. 🤹‍♀️ Building models that actually perform with Kyle Gallatin

   Published: 6/20/2022
5. 💬 MLOps for NLP Systems with Charlene Chambliss

   Published: 5/16/2022
6. 🧩 Simplifying Complex Ideas with Yannic Kilcher

   Published: 4/18/2022
7. 🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner

   Published: 2/14/2022
8. 🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult

   Published: 11/4/2021
9. 🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds

   Published: 9/20/2021
10. 🐤 Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano

    Published: 8/11/2021
11. 🤗 Large ML models in production with HuggingFace CTO Julien Chaumond

    Published: 7/4/2021
12. 🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska

    Published: 4/27/2021