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Amazon SageMaker is a cloud-based tool that enables data scientists and programmers to create, train, and deploy machine learning models at scale. This article examines some of the core SageMaker algorithms, such as linear learner, XGBoost, K-Means Clustering, DeepAR, and image classification algorithms. These algorithms are useful for a variety of tasks, such as classification and regression, market segmentation, anomaly detection, image segmentation, demand forecasting, resource planning, and anomaly identification.
