Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.
It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.
ML model drift is the phenomenon whereby a machine learning model's performance on a given task deteriorates over time. This can happen for a variety of reasons, including changes in the underlying data distribution, changes in the model's environment, or even changes in the way the model is used..
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