MLops streamlines the process of production, maintaining and monitoring the ML model
MLOps refers to a set of approaches and tools for deploying and monitoring ML models.
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 […]