MLOps.community

A podcast by Demetrios

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426 Episodes

  1. Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2

    Published: 27/09/2022
  2. Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124

    Published: 21/09/2022
  3. RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123

    Published: 16/09/2022
  4. Scaling Similarity Learning at Digits // Hannes Hapke // Coffee Sessions #122

    Published: 9/09/2022
  5. Bringing DevOps Agility to ML// Luis Ceze // Coffee Sessions #121

    Published: 6/09/2022
  6. Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

    Published: 2/09/2022
  7. MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119

    Published: 30/08/2022
  8. ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118

    Published: 26/08/2022
  9. Data Engineering for ML // Chad Sanderson // Coffee Sessions #117

    Published: 19/08/2022
  10. Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116

    Published: 17/08/2022
  11. How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115

    Published: 14/08/2022
  12. Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

    Published: 10/08/2022
  13. Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113

    Published: 6/08/2022
  14. MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

    Published: 3/08/2022
  15. More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111

    Published: 30/07/2022
  16. Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110

    Published: 29/07/2022
  17. Why You Need More Than Airflow // Ketan Umare // Coffee Sessions #109

    Published: 23/07/2022
  18. ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108

    Published: 19/07/2022
  19. Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107

    Published: 11/07/2022
  20. Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106

    Published: 5/07/2022

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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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