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Amazon SageMaker offers purpose-built tools for the complete machine learning (ML) lifecycle to help data scientists and ML practitioners build, train, and deploy high-quality ML models quickly. In this session, learn how to use SageMaker for data labeling, data preparation, feature engineering, statistical bias detection, training, tuning, deployment, monitoring, MLOps, and human review. Then, hear from Qualtrics on how they achieved an ML platform that caters to the complete ML lifecycle using SageMaker capabilities for a variety of use cases, including natural language processing, recommendations, time-series prediction, and more. Learn more about re:Invent 2021 at Subscribe: More AWS videos More AWS events videos ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the w
