Amazon SageMaker Studio Description
Amazon SageMaker Studio (IDE) is an integrated development environment that allows you to access purpose-built tools to execute all steps of machine learning (ML). This includes preparing data, building, training and deploying your models. It can improve data science team productivity up to 10x. Quickly upload data, create notebooks, tune models, adjust experiments, collaborate within your organization, and then deploy models to production without leaving SageMaker Studio. All ML development tasks can be performed in one web-based interface, including preparing raw data and monitoring ML models. You can quickly move between the various stages of the ML development lifecycle to fine-tune models. SageMaker Studio allows you to replay training experiments, tune model features, and other inputs, and then compare the results.
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- How engineering teams use real-time customer data to achieve business goals.
- How to elevate your business to a new level of engineering efficiency with AI.
- Strategies used by engineering teams at Instacart, Staples Canada, Televisa Univision, CrossFit, and ClearScore to improve KPIs and drive efficiencies.
