Tag: Machine Learning

AWS partner A&E Engineering is using online machine learning models to monitor realtime data for improved manufacturing. Learn how to successfully deploy an online serverless machine learning model using open source Python River and AWS Cloud Development Kit (AWS CDK).

HAQM Lookout for Vision is a new machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV). It was made available in Preview at AWS re:Invent 2020 and became generally available in February 2021. This service lets manufacturing companies increase quality and reduce operational costs by quickly identifying differences […]

Artificial intelligence (AI) and machine learning (ML) have exploded in popularity as enterprises have sought to make better use of their data. At the heart of these efforts is Project Jupyter, a popular open source project widely used in data science, machine learning, and scientific computing. Although Jupyter is beloved for helping data scientists do […]

If you work in data science, you might think that the hardest thing about machine learning is not knowing when you’ll be done. You start with a problem, a dataset, and an idea about how to solve it, but you never know whether your approach is going to work until later, after you’ve wasted time. […]

Today, we announce the availability of Gluon Time Series (GluonTS), an Apache MXNet-based toolkit for time series analysis using the Gluon API. We are excited to give researchers and practitioners working with time series data access to this toolkit, which we have built for our own needs as applied scientists working on real-world industrial time […]

中文版 – In this post, we will demonstrate how to create a fully-managed Kubernetes cluster on AWS using HAQM Elastic Container Service for Kubernetes (HAQM EKS), and how to run distributed deep learning training jobs using Kubeflow and the AWS FSx CSI driver. We then will discuss best practices to optimize machine learning training performance […]