Key Insights from the Book:
- MLOps, or Machine Learning Operations, is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle.
- The book emphasizes a Production-First Approach, which involves thinking about the end goal - production, from the very beginning of the ML project.
- Model Management is a vital aspect of MLOps, which includes versioning, packaging, validation, and distribution of models.
- The book details the Continuous Integration and Continuous Deployment (CI/CD) pipelines for ML models, which is essential for effective MLOps.
- The book also covers monitoring and governance in the...