AWS Machine Learning Blog

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, […]

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 […]

Note: Amazon Elastic Inference is no longer available. Please see Amazon SageMaker for similar capabilities. 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 […]

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 […]

You’ve collected your datasets, designed your deep neural network architecture, and coded your training routines. You are now ready to run training on a large dataset for multiple epochs on a powerful GPU instance. You learn that the Amazon EC2 P3 instances with NVIDIA Tesla V100 GPUs are ideal for compute-intensive deep learning training jobs, […]

Note: Amazon Elastic Inference is no longer available. Please see Amazon SageMaker for similar capabilities. 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, […]

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 […]

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 […]

Get ready to take the pole position in the AWS DeepRacer League. Today, we’re excited to bring you the next stage in the AWS DeepRacer journey – the AWS DeepRacer League 2019. In November 2018, Jeff Barr announced the launch of AWS DeepRacer on the AWS News Blog as a new way to learn machine […]

Medical images are a foundational tool in modern medicine that enable clinicians to visualize critical information about a patient to help diagnose and treat them. The digitization of medical images has vastly improved our ability to reliably store, share, view, search, and curate these images to assist our medical professionals. The number of modalities for […]