34 Episodio

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

    Pubblicato: 21/11/2022

  2. 🛠 Building tools for MLOps with Guy Smoilovsky

    Pubblicato: 18/10/2022

  3. 📈 You Have Too Much Data with Dean Langsam

    Pubblicato: 16/09/2022

  4. 🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    Pubblicato: 22/08/2022

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

    Pubblicato: 18/07/2022

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

    Pubblicato: 20/06/2022

  7. 💬 MLOps for NLP Systems with Charlene Chambliss

    Pubblicato: 16/05/2022

  8. 🧩 Simplifying Complex Ideas with Yannic Kilcher

    Pubblicato: 18/04/2022

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

    Pubblicato: 14/02/2022

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

    Pubblicato: 04/11/2021

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

    Pubblicato: 20/09/2021

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

    Pubblicato: 11/08/2021

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

    Pubblicato: 04/07/2021

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

    Pubblicato: 27/04/2021

2 / 2

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