MLOps.community

430 Episodes

1. Why You Need More Than Airflow // Ketan Umare // Coffee Sessions #109

   Published: 7/23/2022
2. ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108

   Published: 7/19/2022
3. Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107

   Published: 7/11/2022
4. Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106

   Published: 7/5/2022
5. Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 4/7/2022