34 Episoade

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

    Publicat: 21.11.2022

  2. 🛠 Building tools for MLOps with Guy Smoilovsky

    Publicat: 18.10.2022

  3. 📈 You Have Too Much Data with Dean Langsam

    Publicat: 16.09.2022

  4. 🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    Publicat: 22.08.2022

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

    Publicat: 18.07.2022

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

    Publicat: 20.06.2022

  7. 💬 MLOps for NLP Systems with Charlene Chambliss

    Publicat: 16.05.2022

  8. 🧩 Simplifying Complex Ideas with Yannic Kilcher

    Publicat: 18.04.2022

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

    Publicat: 14.02.2022

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

    Publicat: 04.11.2021

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

    Publicat: 20.09.2021

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

    Publicat: 11.08.2021

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

    Publicat: 04.07.2021

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

    Publicat: 27.04.2021

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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

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