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Why Most ML Models Fail After Launch · SUN
Audio Course
Health & Fitness
Why Most ML Models Fail After Launch
Introduction
0:00
2:44
Episodes
Transcript
0. Introduction
2:44
1. Why MLOps Matters: From Experiment to Production
4:06
2. Designing a CI/CD Pipeline for Machine Learning
7:19
3. Containerizing Models: Docker & Beyond
6:26
4. Monitoring & Observability for Deployed Models
8:12
5. Governance, Compliance, and Model Registry
5:52
6. Scaling MLOps: Organizational Patterns & Future Trends
7:04
