MLOps.community

426 Episodes

1. Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86

   Published: 3/12/2022
2. Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85

   Published: 3/10/2022
3. Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84

   Published: 3/2/2022
4. Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83

   Published: 2/28/2022
5. Feature Stores at Shopify and Skyscanner // Matt Delacour and Mike Moran // Reading Group #4

   Published: 2/23/2022
6. Trustworthy Data for Machine Learning // Chad Sanderson // MLOps Meetup #93

   Published: 2/21/2022
7. Practitioners Guide to MLOps // Donna Schut and Christos Aniftos // Coffee Sessions #82

   Published: 2/15/2022
8. Investing in MLOps // Leigh Marie Braswell and Davis Treybig // MLOps Coffee Sessions #81

   Published: 2/14/2022
9. The Journey from Data Scientist to MLOps Engineer // Ale Solano // MLOps Coffee Sessions #80

   Published: 2/8/2022
10. Platform Thinking: A Lemonade Case Study // Orr Shilon // MLOps Coffee Sessions #79

    Published: 2/4/2022
11. Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // MLOps Coffee Sessions #78

    Published: 1/31/2022
12. Data Mesh - The Data Quality Control Mechanism for MLOps? // Scott Hirleman // MLOps Coffee Sessions #77

    Published: 1/28/2022
13. Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76

    Published: 1/25/2022
14. Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75

    Published: 1/21/2022
15. Scaling Biotech // Jesse Johnson // MLOps Coffee Sessions #74

    Published: 1/19/2022
16. On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73

    Published: 1/7/2022
17. 2021 MLOps Year in Review // Vishnu Rachakonda and Demetrios Brinkmann // MLOps Coffee Sessions #72

    Published: 1/3/2022
18. Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps Coffee Sessions #71

    Published: 12/28/2021
19. 2022 Predictions for MLOps and the Industry // Reah Miyara // MLOps Coffee Sessions #70

    Published: 12/23/2021
20. Building for Small Data Science Teams // James Lamb // MLOps Coffee Sessions #69

    Published: 12/20/2021