34 Episodo

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

    Publicado: 21/11/2022
  2. 🛠 Building tools for MLOps with Guy Smoilovsky

    Publicado: 18/10/2022
  3. 📈 You Have Too Much Data with Dean Langsam

    Publicado: 16/9/2022
  4. 🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    Publicado: 22/8/2022
  5. 🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas

    Publicado: 18/7/2022
  6. 🤹‍♀️ Building models that actually perform with Kyle Gallatin

    Publicado: 20/6/2022
  7. 💬 MLOps for NLP Systems with Charlene Chambliss

    Publicado: 16/5/2022
  8. 🧩 Simplifying Complex Ideas with Yannic Kilcher

    Publicado: 18/4/2022
  9. 🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner

    Publicado: 14/2/2022
  10. 🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult

    Publicado: 4/11/2021
  11. 🧠 Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds

    Publicado: 20/9/2021
  12. 🐤 Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano

    Publicado: 11/8/2021
  13. 🤗 Large ML models in production with HuggingFace CTO Julien Chaumond

    Publicado: 4/7/2021
  14. 🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska

    Publicado: 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

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