Introduction to Amazon Sagemaker
Learn how Amazon SageMaker simplifies the ML life cycle, from data preparation to deployment, enabling effortless innovation for developers and data scientists.
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Amazon SageMaker is a fully managed AWS machine learning (ML) service that automates the process of building, training, and deploying machine learning models. This enables developers and data scientists to focus on innovation rather than infrastructure management.
Machine learning pipeline using SageMaker
Amazon SageMaker contains several tools to simplify the entire machine learning life cycle, from data preparation to building and training models to deploying them into production.
Data preparation: Sagemaker provides tools like Sagemaker Data Wrangler to clean and preprocess data for ML models.
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