Archives for ML production
Machine Learning (ML) model metrics are designed to monitor performance. But when a model goes into production, many factors influence its performance. The traditional checkpoints may no longer help as organisations look to scale these models (think: scaling from a million to billion credit card users). This is why experts advocate for MLOps, a branch…
The post Does MLOps Live Upto The Hype? appeared first on Analytics India Magazine.
Data science and machine learning are becoming the critical building blocks for data-driven organisations. Now accelerating ML lifecycle management and taking the models from prototyping to production has become increasingly important. Another factor that has led to the rise of ML lifecycle solutions is the significant increase in expectations from engineering teams to meet the […]
The post Why Machine Learning Lifecycle Management Is Important appeared first on Analytics India Magazine.