machinelearning

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This tutorial will show you how to expand the capabilities of your applications with automated image and video analysis using Amazon Rekognition. The topics that we will cover in this session are as follows: 1. What is AWS Rekognition? 2.…

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Generative AI is one of the biggest recent advancements in artificial intelligence technology because of its ability to create something new. It opens the door to an entire world of possibilities for human and computer creativity, with practical applications emerging…

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Personalizing the user experience is proven to increase discoverability, user engagement and satisfaction, and revenue; however, many AWS customers find personalization hard to get right. Effective recommender systems require solving multiple hard problems, including constantly changing user behavior, new catalog…

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Kubernetes and Kubeflow are becoming common tools for building ML Platforms, but require significant investment to configure the open source tools for reliability and scalability. SageMaker is a managed service and provides direct integrations with Kubernetes Operators and Kubeflow Pipeline…

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This tutorial will explain how state-of-the-art algorithms built into Amazon SageMaker are used to detect declines in machine learning (ML) model quality. One of the big factors that can affect the accuracy of models is the difference in the data…

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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…