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Explaining Bundesliga Match Facts xGoals using Amazon SageMaker Clarify

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

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Shared by AWS Machine Learning March 19, 2021

Helmet detection error analysis in football videos using Amazon SageMaker

Favorite The National Football League (NFL) is America’s most popular sports league. Founded in 1920, the NFL developed the model for the successful modern sports league and is committed to advancing progress in the diagnosis, prevention, and treatment of sports-related injuries. Health and safety efforts include support for independent medical

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Shared by AWS Machine Learning March 19, 2021

Perform interactive data processing using Spark in Amazon SageMaker Studio Notebooks

Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up Studio notebooks to explore datasets and build models. You can now use Studio notebooks to securely connect to Amazon EMR clusters and

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Shared by AWS Machine Learning March 18, 2021

AI for AgriTech: Classifying Kiwifruits using Amazon Rekognition Custom Labels

Favorite Computer vision is a field of artificial intelligence (AI) that is gaining in popularity and interest largely due to increased access to affordable cloud-based training compute, more performant algorithms, and optimizations for scalable model deployment and inference. However, despite these advances in individual AI and machine learning (ML) domains,

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Shared by AWS Machine Learning March 18, 2021

How Latent Space used the Amazon SageMaker model parallelism library to push the frontiers of large-scale transformers

Favorite This blog is co-authored by Sarah Jane Hong CSO, Darryl Barnhart CTO, and Ian Thompson CEO of Latent Space and Prem Ranga of AWS. Latent space is a hidden representation of abstract ideas that machine learning (ML) models learn. For example, “dog,” “flower,” or “door” are concepts or locations

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Shared by AWS Machine Learning March 13, 2021

From forecasting demand to ordering – An automated machine learning approach with Amazon Forecast to decrease stockouts, excess inventory, and costs

Favorite This post is a guest joint collaboration by Supratim Banerjee of More Retail Limited and Shivaprasad KT and Gaurav H Kankaria of Ganit Inc. More Retail Ltd. (MRL) is one of India’s top four grocery retailers, with a revenue in the order of several billion dollars. It has a

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Shared by AWS Machine Learning March 13, 2021

PDF document pre-processing with Amazon Textract: Visuals detection and removal

Favorite Amazon Textract is a fully managed machine learning (ML) service that automatically extracts printed text, handwriting, and other data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Amazon Textract can detect text in a variety of

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Shared by AWS Machine Learning March 12, 2021

Translate video captions and subtitles using Amazon Translate

Favorite Video is a highly effective a highly effective way to educate, entertain, and engage users. Your company might carry a large collection of videos that include captions or subtitles. To make these videos accessible to a larger audience, you can provide translated captions and subtitles in multiple languages. In

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Shared by AWS Machine Learning March 11, 2021

Batch image processing with Amazon Rekognition Custom Labels 

Favorite Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning (ML) expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in

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Shared by AWS Machine Learning March 11, 2021

Introducing a new API to stop in-progress workflows in Amazon Forecast

Favorite Amazon Forecast uses machine learning (ML) to generate more accurate demand forecasts, without requiring any prior ML experience. Forecast brings the same technology used at Amazon.com to developers as a fully managed service, removing the need to manage resources or rebuild your systems. To start generating forecasts through Forecast,

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Shared by AWS Machine Learning March 10, 2021

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