Category: Amazon SageMaker

Customers often ask us how to get started when they do not have a deep data science and machine learning (ML) background. At AWS, our goal is to put ML in the hands of every developer and data scientist. AWS Training and Certification has partnered with edX to help you get started quickly and easily with ML with […]

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

When CEO Josh Churlik co-founded Well Data Labs in 2014, he was acutely aware of a bizarre dichotomy in his industry: For oil and gas companies, “downhole” innovation (that is, what happens underground) far exceeds the pace of data and analysis innovation. The data systems used then were relics of the 1990s – more homages […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]