AWS Machine Learning Blog

Category: Artificial Intelligence

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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The AWS DeepRacer League visits Hong Kong, bringing together developers of all skill levels!

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console (no car required), for a chance to win an expenses paid trip to re:Invent 2019, where they will race […]

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Empowering wheelchair users with a socially assistive robot running on Amazon Machine Learning

Loro is a socially assistive robot that helps users with physical limitations to more robustly experience their worlds by assisting with seeing, sensing, speaking, and interacting with surroundings.  Loro uses a range of AWS artificial intelligence (AI) and especially machine learning (ML) services to enable its broad range of use cases. Wheelchair users and others […]

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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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Another triple for the DeepRacer League brings more world records and the first female winner!

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console, for a chance to win an expense paid trip to re:Invent 2019, where they will race to win the […]

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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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Schedule an appointment in Office 365 using an Amazon Lex bot

You can use chatbots for automating tasks such as scheduling appointments to improve productivity in enterprise and small business environments. In this blog post, we show how you can build the backend integration for an appointment bot with the calendar software in Microsoft Office 365 Exchange Online. For scheduling appointments, the bot interacts with the […]

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Third time lucky for the winner of AWS DeepRacer League in Chicago and new world records at re:MARS

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console, for a chance to win an expense paid trip to re:Invent 2019, where they will race to win the […]

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Creating a recommendation engine using Amazon Personalize

This is a guest blog post by Phil Basford, lead AWS solutions architect, Inawisdom. At re:Invent 2018, AWS announced Amazon Personalize, which allows you to get your first recommendation engine running quickly, to deliver immediate value to your end user or business. As your understanding increases (or if you are already familiar with data science), […]

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