MLOps

MLOps (Machine Learning Operations) bridges the critical gap between experimental machine learning models and production-ready systems, establishing systematic approaches for deploying, monitoring, and maintaining ML solutions at scale. This discipline combines machine learning with DevOps practices to create reliable, reproducible, and scalable ML workflows. The field addresses key challenges in the ML lifecycle including model versioning, data pipeline management, automated testing, continuou...