sagemaker studio

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In this session, learn more about Amazon SageMaker Edge Manager, a new capability of Amazon SageMaker that helps developers operate machine learning (ML) models on a fleet of edge devices and solve challenges with constraints and maintenance of ML models…

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This video is a tutorial on the AWS Deep Racer. I go through all the bells and whistle of the service and you will learn how to create your own self-driving car model. Race in the virtual track and get…

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Learn all about Amazon SageMaker Studio, a single, web-based visual interface for the complete machine learning workflow. With SageMaker Studio, you can quickly upload data, create new notebooks, train & tune models, and deploy these models, all in a single…

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This session will dive into key considerations for executives to think about as they design, deploy, and create a machine learning strategy. We will share customer success stories, and how to get started quickly. Reference Link; https://d1.awsstatic.com/whitepapers/machine-learning-in-financial-services-on-aws.pdf?fnsd_dlml4 https://aws.amazon.com/blogs/machine-learning/machine-learning-best-practices-in-financial-services/#:~:text=A%20code%20repository%20(such%20as,Production%20monitoring%20and%20performance%20logs Machine learning…

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This tutorial will show how to auto create machine learning models with full visibility using Amazon SageMaker Autopilot. Typical approaches to automated machine learning do not give you the insights or the logic that went into creating the model. In…