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Favorite In our Community Showcase, Amazon Web Services (AWS) highlights projects created by AWS Heroes and AWS Community Builders. Each month AWS ML Heroes and AWS ML Community Builders bring to life projects and use cases for the full range of machine learning skills from beginner to expert through deep
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Shared by AWS Machine Learning March 27, 2021
Favorite Anomalies are unexpected changes in data, which could point to a critical issue. An anomaly could be a technical glitch on your website, or an untapped business opportunity. It could be a new marketing channel with exceedingly high customer conversions. As businesses produce more data than ever before, detecting
Read More Shared by AWS Machine Learning March 26, 2021
Favorite Amazon Forecast is a fully managed service that is based on the same technology used for forecasting at Amazon.com. Forecast uses machine learning (ML) to combine time series data with additional variables to build highly accurate forecasts. Forecast requires no ML experience to get started. You only need to
Read More Shared by AWS Machine Learning March 26, 2021
Favorite Today, Amazon Kendra is making nine new search connectors available in the Amazon Kendra connector library developed by Perficient, an AWS Partner. These include search connectors for IBM Case Manager, Adobe Experience Manger, Atlassian Jira and Confluence, and many others. Improving the Enterprise Search Experience These days, employees and
Read More Shared by AWS Machine Learning March 25, 2021
Favorite Today, we’re pleased to announce the availability of AWS Media Intelligence (AWS MI) solutions, a combination of services that empower you to easily integrate AI into your media content workflows. AWS MI allows you to analyze your media, improve content engagement rates, reduce operational costs, and increase the lifetime
Read More Shared by AWS Machine Learning March 24, 2021
Favorite Just like computer vision a few years ago, the decade-old field of natural language processing (NLP) is experiencing a fascinating renaissance. Not a month goes by without a new breakthrough! Indeed, thanks to the scalability and cost-efficiency of cloud-based infrastructure, researchers are finally able to train complex deep learning
Read More Shared by AWS Machine Learning March 24, 2021
Favorite Amazon SageMaker Feature Store is a new capability of Amazon SageMaker that helps data scientists and machine learning (ML) engineers securely store, discover, and share curated data used in training and prediction workflows. As organizations build data-driven applications using ML, they’re constantly assembling and moving features between more and
Read More Shared by AWS Machine Learning March 24, 2021
Favorite You can now enable notifications for workflow status changes while using Amazon Forecast, allowing you to work seamlessly without the disruption of having to check if a particular workflow has completed. Additionally, you can now automate workflows through the notifications to increase work efficiency. Forecast uses machine learning (ML)
Read More Shared by AWS Machine Learning March 23, 2021
Favorite In this post, we combine the powers of NVIDIA RAPIDS and Amazon SageMaker to accelerate hyperparameter optimization (HPO). HPO runs many training jobs on your dataset using different settings to find the best-performing model configuration. HPO helps data scientists reach top performance, and is applied when models go into
Read More Shared by AWS Machine Learning March 20, 2021
Favorite One of the most exciting AWS re:Invent 2020 announcements was a new Amazon SageMaker feature, purpose built to help detect bias in machine learning (ML) models and explain model predictions: Amazon SageMaker Clarify. In today’s world where predictions are made by ML algorithms at scale, it’s increasingly important for
Read More Shared by AWS Machine Learning March 19, 2021