The MLOps Podcast
Un pódcast de Dean Pleban @ DagsHub
34 Episodo
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🔴🟢🟣Julia Language in Production with Logan Kilpatrick
Publicado: 21/11/2022 -
🛠 Building tools for MLOps with Guy Smoilovsky
Publicado: 18/10/2022 -
📈 You Have Too Much Data with Dean Langsam
Publicado: 16/9/2022 -
🏗 Reasonable Scale MLOps with Jacopo Tagliabue
Publicado: 22/8/2022 -
🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas
Publicado: 18/7/2022 -
🤹♀️ Building models that actually perform with Kyle Gallatin
Publicado: 20/6/2022 -
💬 MLOps for NLP Systems with Charlene Chambliss
Publicado: 16/5/2022 -
🧩 Simplifying Complex Ideas with Yannic Kilcher
Publicado: 18/4/2022 -
🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner
Publicado: 14/2/2022 -
🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult
Publicado: 4/11/2021 -
🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds
Publicado: 20/9/2021 -
🐤 Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano
Publicado: 11/8/2021 -
🤗 Large ML models in production with HuggingFace CTO Julien Chaumond
Publicado: 4/7/2021 -
🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska
Publicado: 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