AWS Machine Learning Blog

Category: Artificial Intelligence

AWS launches open source Neo-AI project  to accelerate ML deployments on edge devices

 At re:Invent 2018, we announced Amazon SageMaker Neo, a new machine learning feature that you can use to train a machine learning model once and then run it anywhere in the cloud and at the edge. Today, we are releasing the code as the open source Neo-AI project under the Apache Software License. This release […]

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Identifying and working with sensitive healthcare data with Amazon Comprehend Medical

At AWS, I regularly speak with AWS customers and AWS Partner Network (APN) partners about how they are using technology to transform human health. These companies often generate large amounts of health data that they use in a variety of applications, such as population health management and electronic health records. Developers need to find ways to use […]

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Extract and visualize clinical entities using Amazon Comprehend Medical

Amazon Comprehend Medical is a new HIPAA-eligible service that uses machine learning (ML) to extract medical information with high accuracy. This reduces the cost, time, and effort of processing large amounts of unstructured medical text. You can extract entities and relationships like medication, diagnosis, and dosage, and you can also extract protected health information (PHI). […]

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Ensure consistency in data processing code between training and inference in Amazon SageMaker

In this blog post, we’ll show you how to deploy an inference pipeline consisting of pre-processing using SparkML, inferences using XGBoost, and post-processing using SparkML. For this particular example, we are using the Car Evaluation Data Set from UCI’s Machine Learning Repository and training an XGBoost model to predict the condition of a car (i.e. unacceptable, acceptable, good, or very good).

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How simpleshow uses Amazon Polly to voice stories in their explainer videos

More than ten years ago, simpleshow started to help their customers explain materials, ideas, and products by using three-minute animated explainer videos. These explainer videos use two hands and simple, black and white illustration to lead viewers through a story. Today, the company also provides mysimpleshow.com, a platform that allows anyone to produce high-quality explainer […]

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Automated and continuous deployment of Amazon SageMaker models with AWS Step Functions

Amazon SageMaker is a complete machine learning (ML) workflow service for developing, training, and deploying models, lowering the cost of building solutions, and increasing the productivity of data science teams. Amazon SageMaker comes with many predefined algorithms. You can also create your own algorithms by supplying Docker images, a training image to train your model […]

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Use AWS Machine Learning to Analyze Customer Calls from Contact Centers (Part 2): Automate, Deploy, and Visualize Analytics using Amazon Transcribe, Amazon Comprehend, AWS CloudFormation, and Amazon QuickSight

In the previous blog post, we showed you how to string together Amazon Transcribe and Amazon Comprehend to be able to conduct sentiment analysis on call conversations from contact centers. Here, we demonstrate how to leverage AWS CloudFormation to automate the process and deploy your solution at scale. Solution Architecture The following diagram illustrates architecture that […]

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Transcribe speech in three new languages: French, Italian, and Brazilian Portuguese

We’re excited to announce that Amazon Transcribe now supports automatic speech recognition in three new languages: French, Italian, and Brazilian Portuguese. These new languages expand upon the 5 languages already available in Amazon Transcribe: US English, US Spanish, Australian English, British English, and Canadian French. Using the Amazon Transcribe API, you can analyze audio files […]

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Amazon SageMaker adds Scikit-Learn support

Amazon SageMaker now comes pre-configured with the Scikit-Learn machine learning library in a Docker container. Scikit-Learn is popular choice for data scientists and developers because it provides efficient tools for data analysis and high quality implementations of popular machine learning algorithms through a consistent Python interface and well documented APIs. Scikit-Learn executes quickly and can […]

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Power your website with on-demand translated reviews using Amazon Translate

Amazon Translate is a high-quality neural machine translation service that uses advanced deep learning techniques to provide fast language translation of content from a source language to a target language, chosen among the supported pairs. It enables developers to easily invoke an API providing the text to be translated and obtain its translated version in real-time, hiding the complexity of building a neural machine translation model.

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