The MLOps Podcast
En podcast av Dean Pleban @ DagsHub
34 Avsnitt
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🔴🟢🟣Julia Language in Production with Logan Kilpatrick
Publicerades: 2022-11-21 -
🛠 Building tools for MLOps with Guy Smoilovsky
Publicerades: 2022-10-18 -
📈 You Have Too Much Data with Dean Langsam
Publicerades: 2022-09-16 -
🏗 Reasonable Scale MLOps with Jacopo Tagliabue
Publicerades: 2022-08-22 -
🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas
Publicerades: 2022-07-18 -
🤹♀️ Building models that actually perform with Kyle Gallatin
Publicerades: 2022-06-20 -
💬 MLOps for NLP Systems with Charlene Chambliss
Publicerades: 2022-05-16 -
🧩 Simplifying Complex Ideas with Yannic Kilcher
Publicerades: 2022-04-18 -
🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner
Publicerades: 2022-02-14 -
🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult
Publicerades: 2021-11-04 -
🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds
Publicerades: 2021-09-20 -
🐤 Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano
Publicerades: 2021-08-11 -
🤗 Large ML models in production with HuggingFace CTO Julien Chaumond
Publicerades: 2021-07-04 -
🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska
Publicerades: 2021-04-27
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
