The MLOps Podcast
En podkast av Dean Pleban @ DagsHub
Kategorier:
32 Episoder
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📈 You Have Too Much Data with Dean Langsam
Publisert: 16.9.2022 -
🏗 Reasonable Scale MLOps with Jacopo Tagliabue
Publisert: 22.8.2022 -
🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas
Publisert: 18.7.2022 -
🤹♀️ Building models that actually perform with Kyle Gallatin
Publisert: 20.6.2022 -
💬 MLOps for NLP Systems with Charlene Chambliss
Publisert: 16.5.2022 -
🧩 Simplifying Complex Ideas with Yannic Kilcher
Publisert: 18.4.2022 -
🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner
Publisert: 14.2.2022 -
🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult
Publisert: 4.11.2021 -
🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds
Publisert: 20.9.2021 -
🐤 Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano
Publisert: 11.8.2021 -
🤗 Large ML models in production with HuggingFace CTO Julien Chaumond
Publisert: 4.7.2021 -
🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska
Publisert: 27.4.2021
A podcast from DagsHub about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production
