AWS Machine Learning Blog

Category: Artificial Intelligence

Amazon Comprehend now support KMS encryption

Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics for important workloads. For example, analyzing market research reports for key market indicators or data that contains PII information. Customers that work with highly sensitive, encrypted data can now easily enable Comprehend to work with this encrypted data via an integration […]

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AWS DeepRacer League hits the road for more fun and excitement for developers!

From developer to machine learning developer The AWS DeepRacer League is the world’s first autonomous racing league open to developers of all skill levels and it kicked off last week in Santa Clara, California. Chris Miller was crowned our first champion of the 2019 season. Chris is the founder of Cloud Brigade, based in Santa Cruz, […]

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Create high-quality instructions for Amazon SageMaker Ground Truth labeling jobs

Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for machine learning (ML). You can use your own workers, a choice of vendor-managed workforces that specialize in data labeling, or a public workforce powered by Amazon Mechanical Turk to provide the human-generated labels. To get high-quality labels, you must provide simple, concise, […]

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Build a serverless anomaly detection tool using Java and the Amazon SageMaker Random Cut Forest algorithm

One of the problems that business owners commonly face is detecting when something unusual is happening in their business. Detecting unusual user activity or changes in daily traffic patterns are just some of the challenges. With an ever-increasing amount of data and metrics, detecting anomalies with the help of machine learning is a great way […]

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Launch EI accelerators in minutes with the Amazon Elastic Inference setup tool for EC2

The Amazon Elastic Inference (EI) setup tool is a Python script that enables you to quickly get started with EI. Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75 percent. If you are using EI for the […]

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Announcing the first winner of the AWS DeepRacer League Summit circuit!

Today, at the AWS Summit in Santa Clara, California, we kicked off the 2019 season of the world’s first global autonomous racing league. The AWS DeepRacer League allows developers of all skill levels to get hands on with machine learning through a series of live racing events at AWS Global Summits around the world. The […]

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Reducing deep learning inference cost with MXNet and Amazon Elastic Inference

Amazon Elastic Inference (Amazon EI) is a service that allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances. MXNet has supported Amazon EI since its initial release at AWS re:Invent 2018. In this blog post, we’ll explore the cost and performance benefits of using Amazon EI with MXNet. We’ll walk […]

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Control root access to Amazon SageMaker notebook instances

Amazon SageMaker recently introduced the ability to enable and disable root access for notebook users. Before I give you a preview of how you can implement this new feature using the AWS Management Console and Amazon SageMaker API actions, I’ll explain why controlling root access for users is helpful. Amazon SageMaker provides fully managed notebook […]

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AWS Deep Learning AMIs now come with TensorFlow 1.13, MXNet 1.4, and support Amazon Linux 2

The AWS Deep Learning AMIs now come with MXNet 1.4.0, Chainer 5.3.0, and TensorFlow 1.13.1, which is custom-built directly from source and tuned for high-performance training across Amazon EC2 instances. AWS Deep Learning AMIs are now available on Amazon Linux 2 Developers can now use the AWS Deep Learning AMIs and Deep Learning Base AMI on […]

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