34 Epizód

  1. 🔴🟢🟣Julia Language in Production with Logan Kilpatrick

    Közzétéve: 2022. 11. 21.

  2. 🛠 Building tools for MLOps with Guy Smoilovsky

    Közzétéve: 2022. 10. 18.

  3. 📈 You Have Too Much Data with Dean Langsam

    Közzétéve: 2022. 09. 16.

  4. 🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    Közzétéve: 2022. 08. 22.

  5. 🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas

    Közzétéve: 2022. 07. 18.

  6. 🤹‍♀️ Building models that actually perform with Kyle Gallatin

    Közzétéve: 2022. 06. 20.

  7. 💬 MLOps for NLP Systems with Charlene Chambliss

    Közzétéve: 2022. 05. 16.

  8. 🧩 Simplifying Complex Ideas with Yannic Kilcher

    Közzétéve: 2022. 04. 18.

  9. 🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner

    Közzétéve: 2022. 02. 14.

  10. 🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult

    Közzétéve: 2021. 11. 04.

  11. 🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds

    Közzétéve: 2021. 09. 20.

  12. 🐤 Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano

    Közzétéve: 2021. 08. 11.

  13. 🤗 Large ML models in production with HuggingFace CTO Julien Chaumond

    Közzétéve: 2021. 07. 04.

  14. 🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska

    Közzétéve: 2021. 04. 27.

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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

Visit the podcast's native language site