MLOps.community

En podcast af Demetrios Brinkmann

Kategorier:

383 Episoder

  1. Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102

    Udgivet: 10.6.2022
  2. Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101

    Udgivet: 3.6.2022
  3. Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1

    Udgivet: 27.5.2022
  4. MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100

    Udgivet: 27.5.2022
  5. CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99

    Udgivet: 20.5.2022
  6. Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98

    Udgivet: 12.5.2022
  7. Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97

    Udgivet: 5.5.2022
  8. FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96

    Udgivet: 2.5.2022
  9. MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95

    Udgivet: 25.4.2022
  10. Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94

    Udgivet: 21.4.2022
  11. Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93

    Udgivet: 14.4.2022
  12. Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

    Udgivet: 11.4.2022
  13. The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91

    Udgivet: 7.4.2022
  14. Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90

    Udgivet: 4.4.2022
  15. A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89

    Udgivet: 31.3.2022
  16. ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88

    Udgivet: 28.3.2022
  17. Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87

    Udgivet: 17.3.2022
  18. Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86

    Udgivet: 12.3.2022
  19. Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85

    Udgivet: 10.3.2022
  20. Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84

    Udgivet: 2.3.2022

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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.

Visit the podcast's native language site