sagemaker

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AWS provides ML services for every use case so Startups of any size can launch immediately. AWS is among the top rated on Stanford’s 2020 deep learning benchmark, DAWNBench, for the fastest training time, lowest cost, lowest inference latency, and…

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Ever wonder how data scientists at digital freight marketplace Convoy are able to find the most cost-efficient trucking routes or how healthcare Startup SyntheticGestalt is taking the drug discovery process from 4 years down to 9 hours to accelerate scientific…

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AI and ML hold the promise of transforming industries, increasing efficiencies, and driving innovation. The key to machine learning success is scale. In this session, we cover how executives and managers who are looking to achieve success using ML at…

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AI and ML hold the promise of transforming industries, increasing efficiencies, and driving innovation. The key to machine learning success is scale. In this session, we cover how executives and managers who are looking to achieve success using ML at…

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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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Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, “Where…

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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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Amazon has a long history in AI, from personalization and recommendation engines to robotics in fulfillment centers. Amazon Go, Amazon Alexa, and Amazon Prime Air are also examples. In this session, learn more about the latest machine learning services from…

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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…