MLOps.community

A podcast by Demetrios Brinkmann

Categories:

391 Episodes

  1. The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91

    Published: 7/04/2022
  2. Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90

    Published: 4/04/2022
  3. A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89

    Published: 31/03/2022
  4. ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88

    Published: 28/03/2022
  5. Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87

    Published: 17/03/2022
  6. Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86

    Published: 12/03/2022
  7. Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85

    Published: 10/03/2022
  8. Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84

    Published: 2/03/2022
  9. Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83

    Published: 28/02/2022
  10. Feature Stores at Shopify and Skyscanner // Matt Delacour and Mike Moran // Reading Group #4

    Published: 23/02/2022
  11. Trustworthy Data for Machine Learning // Chad Sanderson // MLOps Meetup #93

    Published: 21/02/2022
  12. Practitioners Guide to MLOps // Donna Schut and Christos Aniftos // Coffee Sessions #82

    Published: 15/02/2022
  13. Investing in MLOps // Leigh Marie Braswell and Davis Treybig // MLOps Coffee Sessions #81

    Published: 14/02/2022
  14. The Journey from Data Scientist to MLOps Engineer // Ale Solano // MLOps Coffee Sessions #80

    Published: 8/02/2022
  15. Platform Thinking: A Lemonade Case Study // Orr Shilon // MLOps Coffee Sessions #79

    Published: 4/02/2022
  16. Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // MLOps Coffee Sessions #78

    Published: 31/01/2022
  17. Data Mesh - The Data Quality Control Mechanism for MLOps? // Scott Hirleman // MLOps Coffee Sessions #77

    Published: 28/01/2022
  18. Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76

    Published: 25/01/2022
  19. Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75

    Published: 21/01/2022
  20. Scaling Biotech // Jesse Johnson // MLOps Coffee Sessions #74

    Published: 19/01/2022

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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.

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