MLOps.community

A podcast by Demetrios Brinkmann

Categories:

382 Episodes

  1. Updated The Evolution of ML Infrastructure // Sakib Dadi // MLOps Podcast #140

    Published: 10/01/2023
  2. Foundational Models are the Future but... with Alex Ratner CEO of Snorkel AI // MLOps Podcast #139

    Published: 3/01/2023
  3. Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

    Published: 27/12/2022
  4. Machine Learning Operations — What is it and Why Do We Need It? // Niklas Kühl // MLOps Podcast #137

    Published: 20/12/2022
  5. Systems Engineer Navigating the World of ML // Andrew Dye // MLOps Podcast #136

    Published: 13/12/2022
  6. "Real-Time" ML: Features and Inference // Sasha Ovsankin and Rupesh Gupta // MLOps Podcast #135

    Published: 9/12/2022
  7. Building Threat Detection Systems: An MLE's Perspective // Jeremy Jordan // MLOps Podcast #134

    Published: 6/12/2022
  8. Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133

    Published: 22/11/2022
  9. What is Data / ML Like on League? // Ian Schweer // MLOps Coffee Sessions #132

    Published: 15/11/2022
  10. Let's Continue Bundling into the Database // Ethan Rosenthal // MLOps Coffee Sessions #131

    Published: 8/11/2022
  11. MLOps for Ad Platforms // Andrew Yates // MLOps Coffee Sessions #130

    Published: 31/10/2022
  12. Voice and Language Tech // Catherin Breslin // Coffee Sessions #129

    Published: 21/10/2022
  13. Managing Machine Learning Projects // Simon Thompson // MLOps Coffee Sessions #128

    Published: 19/10/2022
  14. Reliable ML // Niall Murphy & Todd Underwood // Coffee Sessions #127

    Published: 7/10/2022
  15. ML Unicorn Start-up Investor Tells-IT-All // George Mathew // MLOps Coffee Sessions #126

    Published: 4/10/2022
  16. Databricks Model Serving V2 // Rafael Pierre // Coffee Sessions #125

    Published: 30/09/2022
  17. Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2

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

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

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

    Published: 9/09/2022

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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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