MLOps.community

382 Episodes

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 28/02/2022