MLOps.community

A podcast by Demetrios

Categories:

426 Episodes

  1. Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105

    Published: 1/07/2022
  2. MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104

    Published: 24/06/2022
  3. Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103

    Published: 17/06/2022
  4. Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102

    Published: 10/06/2022
  5. Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101

    Published: 3/06/2022
  6. Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1

    Published: 27/05/2022
  7. MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100

    Published: 27/05/2022
  8. CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99

    Published: 20/05/2022
  9. Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98

    Published: 12/05/2022
  10. Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97

    Published: 5/05/2022
  11. FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96

    Published: 2/05/2022
  12. MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95

    Published: 25/04/2022
  13. Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94

    Published: 21/04/2022
  14. Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93

    Published: 14/04/2022
  15. Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

    Published: 11/04/2022
  16. The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91

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

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

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

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

    Published: 17/03/2022

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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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