34 Folgen

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

    Vom: 21.11.2022

  2. 🛠 Building tools for MLOps with Guy Smoilovsky

    Vom: 18.10.2022

  3. 📈 You Have Too Much Data with Dean Langsam

    Vom: 16.9.2022

  4. 🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    Vom: 22.8.2022

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

    Vom: 18.7.2022

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

    Vom: 20.6.2022

  7. 💬 MLOps for NLP Systems with Charlene Chambliss

    Vom: 16.5.2022

  8. 🧩 Simplifying Complex Ideas with Yannic Kilcher

    Vom: 18.4.2022

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

    Vom: 14.2.2022

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

    Vom: 4.11.2021

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

    Vom: 20.9.2021

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

    Vom: 11.8.2021

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

    Vom: 4.7.2021

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

    Vom: 27.4.2021

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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

Visit the podcast's native language site