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Your guide to AI/ML at AWS re:Invent 2022

Favorite AWS re:Invent season is upon us again! Just a few days to go until re:Invent takes place for the 11th year in Las Vegas, Nevada. The Artificial Intelligence and Machine Learning team at AWS has been working hard to offer amazing content, an outstanding AWS DeepRacer experience, and much

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Shared by AWS Machine Learning November 18, 2022

Easy and accurate forecasting with AutoGluon-TimeSeries

Favorite AutoGluon-TimeSeries is the latest addition to AutoGluon, which helps you easily build powerful time series forecasting models with as little as three lines of code. Time series forecasting is a common task in a wide array of industries as well as scientific domains. Having access to reliable forecasts for

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Shared by AWS Machine Learning November 18, 2022

Conversation Summaries in Google Chat

Favorite Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages and documents that arrive at our inbox everyday. This

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Shared by Google AI Technology November 18, 2022

Large-scale feature engineering with sensitive data protection using AWS Glue interactive sessions and Amazon SageMaker Studio

Favorite Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes. Data underpins ML and AI use cases and is a strategic asset to an organization. As data is growing at an exponential rate, organizations are

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Shared by AWS Machine Learning November 17, 2022

Build high performing image classification models using Amazon SageMaker JumpStart

Favorite Image classification is a computer vision-based machine learning (ML) technique that allows you to classify images. Some well-known examples of image classification include classifying handwritten digits, medical image classification, and facial recognition. Image classification is a useful technique with several business applications, but building a good image classification model

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Shared by AWS Machine Learning November 17, 2022

How Yara is using MLOps features of Amazon SageMaker to scale energy optimization across their ammonia plants

Favorite Yara is the world’s leading crop nutrition company and a provider of environmental and agricultural solutions. Yara’s ambition is focused on growing a nature-positive food future that creates value for customers, shareholders, and society at large, and delivers a more sustainable food value chain. Supporting our vision of a

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Shared by AWS Machine Learning November 17, 2022

AlexaTM 20B is now available in Amazon SageMaker JumpStart

Favorite Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters  (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine learning hub. AlexaTM 20B is a multilingual large-scale sequence-to-sequence (seq2seq) language model developed by Amazon. You can use AlexaTM 20B for a wide range of

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Shared by AWS Machine Learning November 17, 2022

The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation

Favorite Posted by Mahima Pushkarna, Senior Interaction Designer, and Andrew Zaldivar, Senior Developer Relations Engineer, Google Research As machine learning (ML) research moves toward large-scale models capable of numerous downstream tasks, a shared understanding of a dataset’s origin, development, intent, and evolution becomes increasingly important for the responsible and informed

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Shared by Google AI Technology November 17, 2022