AWS Machine Learning Blog

It’s quite common to be watching a soccer match and, when seeing a player score a goal, surmise how difficult scoring that goal was. Your opinions may be further confirmed if you’re watching the match on television and hear the broadcaster exclaim how hard it was for that shot to find the back of the […]

Update October 2020: Amazon Comprehend now supports Amazon SageMaker GroundTruth to help label your datasets for Comprehend’s Custom Model training. For Custom EntityRecognizer, checkout Annotations documentation for more details. For Custom MultiClass and MultiLabel Classifier, checkout MultiClass and MultiLabel documentation for more details respectively. Named entity recognition (NER) involves sifting through text data to locate noun phrases […]

AWS DeepComposer gives you a creative way to get started with machine learning (ML) and generative AI techniques. AWS DeepComposer recently launched a new generative AI algorithm called autoregressive convolutional neural network (AR-CNN), which allows you to generate music in the style of Bach. In this blog post, we show a few examples of how […]

Are you interested in the latest advancements in voice and natural language processing (NLP) technology? Maybe you’re curious about how you can use these technologies to build with Alexa? We’re excited to share that Alexa Live—a free virtual developer education event hosted by the Alexa team—is back for its second year on July 22, 2020. […]

Have you ever wished that people visiting your home could leave you a message if you’re not there? What if that solution could support your native language? Here is a straightforward and cost-effective solution that you can build yourself, and you only pay for what you use. This post demonstrates how to build a notification […]

May 2023: Please refer to Automate the deployment of an Amazon Forecast time-series forecasting model blog post for latest practices on forecasting automation. This post demonstrates how to create a serverless Machine Learning Operations (MLOps) pipeline to develop and visualize a forecasting model built with Amazon Forecast. Because Machine Learning (ML) workloads need to scale, […]

Amazon Kendra is an easy-to-use enterprise search service that allows you to add search capabilities to your applications so end-users can easily find information stored in different data sources within your company. This could include invoices, business documents, technical manuals, sales reports, corporate glossaries, internal websites, and more. You can harvest this information from storage […]

May 2023: The functionality described in this blog post, is now natively available in SageMaker Studio, and can be installed as an extension into any Jupyter environment. For more information refer to: Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension Operationalize your Amazon SageMaker Studio notebooks as scheduled notebook jobs […]

We are excited to announce the launch of AWS DeepComposer Chartbusters, a monthly challenge where developers can use AWS DeepComposer to create original compositions and compete to top the charts and win prizes. AWS DeepComposer gives developers a creative way to get started with machine learning (ML) and generative AI techniques. With AWS DeepComposer, developers, […]

Fraudulent users and malicious accounts can result in billions of dollars in lost revenue annually for businesses. Although many businesses use rule-based filters to prevent malicious activity in their systems, these filters are often brittle and may not capture the full range of malicious behavior. However, some solutions, such as graph techniques, are especially suited […]