AWS Machine Learning Blog

Getting a batch job completion message from Amazon Translate

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation is a form of language translation automation that uses deep learning models to deliver more accurate and natural-sounding translation than traditional statistical and rule-based translation algorithms. The translation service is trained on a wide variety of […]

Announcing the winner of the AWS DeepComposer Chartbusters Spin the Model challenge

Support for AWS DeepComposer will be ending soon. Please see Support for AWS DeepComposer ending soon for more details. We’re excited to announce the top 10 compositions and the winner of the AWS DeepComposer Chartbusters Spin the Model challenge. AWS DeepComposer provides a creative and hands-on experience for learning generative AI and machine learning. Chartbusters […]

How to run distributed training using Horovod and MXNet on AWS DL Containers and AWS  Deep Learning AMIs

Distributed training of large deep learning models has become an indispensable way of model training for computer vision (CV) and natural language processing (NLP) applications. Open source frameworks such as Horovod provide distributed training support to Apache MXNet, PyTorch, and TensorFlow. Converting your non-distributed Apache MXNet training script to use distributed training with Horovod only […]

Using Amazon Textract with AWS PrivateLink

Amazon Textract now supports Amazon Virtual Private Cloud (Amazon VPC) endpoints via AWS PrivateLink so you can securely initiate API calls to Amazon Textract from within your VPC and avoid using the public internet. In this post, we show you how to access Amazon Textract APIs from within your VPC without traversing the public internet, […]

Announcing the AWS DeepComposer Chartbusters challenge, The Sounds of Science

Support for AWS DeepComposer will be ending soon. Please see Support for AWS DeepComposer ending soon for more details. We’re excited to announce the next AWS DeepComposer Chartbusters challenge, in which developers interactively collaborate with AI using the new edit melody feature launching today! Chartbusters is a monthly challenge where you can use AWS DeepComposer […]

Getting started with the Amazon Kendra SharePoint Online connector

Amazon Kendra is a highly accurate and easy-to-use enterprise search service powered by machine learning (ML). To get started with Amazon Kendra, we offer data source connectors to get your documents easily ingested and indexed. This post describes how to use Amazon Kendra’s SharePoint Online connector. To allow the connector to access your SharePoint Online […]

Learn from the first place winner of the first AWS DeepComposer Chartbusters Bach to the Future Challenge

Support for AWS DeepComposer will be ending soon. Please see Support for AWS DeepComposer ending soon for more details. AWS is excited to announce the winner of the first AWS DeepComposer Chartbusters Challenge, Catherine Chui. AWS DeepComposer gives developers a creative way to get started with machine learning (ML). To make the learning more fun, […]

Building a customized recommender system in Amazon SageMaker

Recommender systems help you tailor customer experiences on online platforms. Amazon Personalize is an artificial intelligence and machine learning service that specializes in developing recommender system solutions. It automatically examines the data, performs feature and algorithm selection, optimizes the model based on your data, and deploys and hosts the model for real-time recommendation inference. However, […]