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Build, train, and deploy machine learning (ML) models for any use case.

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Overview

Amazon SageMaker is a cloud-based AI tool that offers a comprehensive platform for creating, training, and deploying machine learning models. Key Features: - Fully managed infrastructure, tools, and workflows for seamless ML development - Choice of tools, including IDEs for data scientists and a no-code interface for business analysts, to encourage innovation with ML across different roles - Ability to access, label, and process large amounts of structured and unstructured data for ML, including tabular data, photos, videos, geospatial data, and audio - Optimized infrastructure that reduces training time from hours to minutes, enhancing team productivity - Automation and standardization of MLOps practices and governance to ensure transparency and auditability across organizations With support for leading ML frameworks, toolkits, and programming languages, Amazon SageMaker offers high-performance, low-cost ML at scale. It leverages Amazon's extensive experience in developing real-world ML applications, resulting in a tool that delivers significant benefits, such as a 10x increase in team productivity, lower total cost of ownership (TCO), reduced data labeling costs, and faster training through efficient GPU utilization. Additionally, Amazon SageMaker boasts minimal inference overhead latency, ensuring quick and efficient ML predictions.

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