1. What Is MLOps MLOps is short for Machine Learning Operations, and it describes the standardization and engineering of the entire lifecycle around model development. MLOps includes the following key steps: Data management: storing, accessing, cleaning, and transforming data Model development: algorithm development and model construction Model training and tuning: training models on data, adjusting hyperparameters to optimize the model, and fine-tuning models Model evaluation: testing a model’s accuracy, generalization ability, and performance metrics Model deployment: deploying the model to the target environment and converting the model Model monitoring: monitoring the model’s behavior, performance degradation, data drift, and robustness Another similar concept is ModelOps.

1. What a Programming Paradigm Is A programming paradigm is a class of typical programming conventions. On one hand, it provides engineers with a way to model entities, linking the physical world to code; on the other hand, it provides engineers with a way of thinking about code and programs.