Categoría: SageMaker

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Amazon SageMaker Continues to Lead the Way in Machine Learning and Announces up to 18% Lower Prices on GPU Instances

Publicada el por Stack Over Cloud

Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. From startups to large enterprises to public sector, organizations of all sizes use our cloud computing services to reach unprecedented levels of security, resiliency, and scalability. Every day, they’re able to experiment, innovate, and deploy to production Read more about Amazon SageMaker Continues to Lead the Way in Machine Learning and Announces up to 18% Lower Prices on GPU Instances[…]

New – Label 3D Point Clouds with Amazon SageMaker Ground Truth

Publicada el por Stack Over Cloud

Launched at AWS re:Invent 2018, Amazon Sagemaker Ground Truth is a capability of Amazon SageMaker that makes it easy to annotate machine learning datasets. Customers can efficiently and accurately label image and text data with built-in workflows, or any other type of data with custom workflows. Data samples are automatically distributed to a workforce (private, Read more about New – Label 3D Point Clouds with Amazon SageMaker Ground Truth[…]

New for Amazon Aurora – Use Machine Learning Directly From Your Databases

Publicada el por Stack Over Cloud

Machine Learning allows you to get better insights from your data. But where is most of the structured data stored? In databases! Today, in order to use machine learning with data in a relational database, you need to develop a custom application to read the data from the database and then apply the machine learning Read more about New for Amazon Aurora – Use Machine Learning Directly From Your Databases[…]

Now available in Amazon SageMaker: EC2 P3dn GPU Instances

Publicada el por Stack Over Cloud

In recent years, the meteoric rise of deep learning has made incredible applications possible, such as detecting skin cancer (SkinVision) and building autonomous vehicles (TuSimple). Thanks to neural networks, deep learning indeed has the uncanny ability to extract and model intricate patterns from vast amounts of unstructured data (e.g. images, video, and free-form text). However, Read more about Now available in Amazon SageMaker: EC2 P3dn GPU Instances[…]

Learn about AWS Services & Solutions – September AWS Online Tech Talks

Publicada el por Stack Over Cloud

Learn about AWS Services & Solutions – September AWS Online Tech Talks Join us this September to learn about AWS services and solutions. The AWS Online Tech Talks are live, online presentations that cover a broad range of topics at varying technical levels. These tech talks, led by AWS solutions architects and engineers, feature technical Read more about Learn about AWS Services & Solutions – September AWS Online Tech Talks[…]

Managed Spot Training: Save Up to 90% On Your Amazon SageMaker Training Jobs

Publicada el por Stack Over Cloud

Amazon SageMaker is a fully-managed, modular machine learning (ML) service that enables developers and data scientists to easily build, train, and deploy models at any scale. With a choice of using built-in algorithms, bringing your own, or choosing from algorithms available in AWS Marketplace, it’s never been easier and faster to get ML models from Read more about Managed Spot Training: Save Up to 90% On Your Amazon SageMaker Training Jobs[…]

Amazon SageMaker Ground Truth Keeps Simplifying Labeling Workflows

Publicada el por Stack Over Cloud

Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth is a capability of Amazon SageMaker that makes it easy for customers to efficiently and accurately label the datasets required for training machine learning systems. A quick recap on Amazon SageMaker Ground Truth Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine Read more about Amazon SageMaker Ground Truth Keeps Simplifying Labeling Workflows[…]