AWS Machine Learning Blog

Category: SageMaker

Pricing housing just right: Entrata enables apartments to fill capacity with Amazon SageMaker and 1Strategy

The housing market is complex.  There is a continuously changing supply of student housing units around any given education campus. Moreover, the accepted value of a unit continuously changes based on physical and social variables. These variables could include proximity to campus with regard to other available options, friend groups living nearby, and the availability […]

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Helping students learn with Course Hero, powered by Amazon SageMaker

Course Hero is an online learning platform that provides students access to over 25 million course-specific study materials, including study guides, class notes, and practice problems for numerous subjects. The platform, which runs on AWS, is designed to enable every student to take on their courses feeling confident and prepared. To make that possible, Course […]

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Voicing play with Volley, where words are the gameboard and Amazon Polly brings the fun

Voice-powered experiences are gaining traction and customer love. Volley is at the cutting edge of voice-controlled entertainment with its series of popular smart-speaker games, and many aspects of Volley rely on Amazon Polly. Every day, more and more people switch on lights, check the weather, and play music not by pushing buttons but with verbal […]

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Bring your own deep learning framework to Amazon SageMaker with Model Server for Apache MXNet

Deep learning (DL) frameworks enable machine learning (ML) practitioners to build and train ML models. However, the process of deploying ML models in production to serve predictions (also known as inferences) in real time is more complex. It requires that ML practitioners build a scalable and performant model server, which can host these models and […]

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A personalized ‘shop-by-style’ experience using PyTorch on Amazon SageMaker and Amazon Neptune

Remember the screech of the dial-up and plain-text websites? It was in that era that the Amazon.com website launched in the summer of 1995. Like the rest of the web, Amazon.com has gone through a digital experience makeover that includes slick web controls, rich media, multi-channel support, and intelligent content placement. Nonetheless, there are certain […]

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Associating prediction results with input data using Amazon SageMaker Batch Transform

When you run predictions on large datasets, you may want to drop some input attributes before running the predictions. This is because those attributes don’t carry any signal or were not part of the dataset used to train your machine learning (ML) model. Similarly, it can be helpful to map the prediction results to all […]

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Support for Apache MXNet 1.4 and Model Server in Amazon SageMaker

Apache MXNet is an open-source deep learning software framework used to train and deploy deep neural networks. Data scientists and machine learning (ML) developers love MXNet due to its flexibility and efficiency when building deep learning models. Amazon SageMaker is committed to improving the customer experience for all ML frameworks and libraries, including MXNet. With the latest release of […]

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Amazon SageMaker Ground Truth: Using A Pre-Trained Model for Faster Data Labeling

With Amazon SageMaker Ground Truth, you can build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling, […]

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Train and deploy Keras models with TensorFlow and Apache MXNet on Amazon SageMaker

Keras is a popular and well-documented open source library for deep learning, while Amazon SageMaker provides you with easy tools to train and optimize machine learning models. Until now, you had to build a custom container to use both, but Keras is now part of the built-in TensorFlow environments for TensorFlow and Apache MXNet. Not […]

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Amazon SageMaker Neo Helps Detect Objects and Classify Images on Edge Devices

Nomura Research Institute (NRI) is a leading global provider of system solutions and consulting services in Japan and an APN Premium Consulting Partner. NRI is increasingly getting requests to help customers optimize inventory and production plans, reduce costs, and create better customer experiences. To address these demands, NRI is turning to new sources of data, specifically […]

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