MLOps.community

426 Episodes

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

   Published: 7/1/2022
2. MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104

   Published: 6/24/2022
3. Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103

   Published: 6/17/2022
4. Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102

   Published: 6/10/2022
5. Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101

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

   Published: 5/27/2022
7. MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100

   Published: 5/27/2022
8. CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99

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

   Published: 5/12/2022
10. Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97

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

    Published: 5/2/2022
12. MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95

    Published: 4/25/2022
13. Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94

    Published: 4/21/2022
14. Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93

    Published: 4/14/2022
15. Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

    Published: 4/11/2022
16. The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91

    Published: 4/7/2022
17. Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90

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

    Published: 3/31/2022
19. ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88

    Published: 3/28/2022
20. Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87

    Published: 3/17/2022