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Tag: Amazon Machine Learning

Claudin18.2, a shining star in gastric cancer, Transcenta’s TST001 stands at the global forefront

HONG KONG, Sept 28, 2022 - (ACN Newswire) - Transcenta Holding Limited (06628.HK), a clinical stage biopharmaceutical company with fully-integrated capabilities in discovery, research, development and manufacturing of...

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Intelligent document processing with AWS AI services: Part 2

Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions...

Intelligent document processing with AWS AI services: Part 1

Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their...

Amazon SageMaker Automatic Model Tuning now supports SageMaker Training Instance Fallbacks

Today Amazon SageMaker announced the support of SageMaker training instance fallbacks for Amazon SageMaker Automatic Model Tuning (AMT) that allow users to specify alternative...

Simplify iterative machine learning model development by adding features to existing feature groups in Amazon SageMaker Feature Store

Feature engineering is one of the most challenging aspects of the machine learning (ML) lifecycle and a phase where the most amount of time...

Build and train ML models using a data mesh architecture on AWS: Part 1

Organizations across various industries are using artificial intelligence (AI) and machine learning (ML) to solve business challenges specific to their industry. For example, in...

Build a news-based real-time alert system with Twitter, Amazon SageMaker, and Hugging Face

Today, social media is a huge source of news. Users rely on platforms like Facebook and Twitter to consume news. For certain industries such...
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Use Amazon SageMaker Data Wrangler in Amazon SageMaker Studio with a default lifecycle configuration

If you use the default lifecycle configuration for your domain or user profile in Amazon SageMaker Studio and use Amazon SageMaker Data Wrangler for...

Text classification for online conversations with machine learning on AWS

Online conversations are ubiquitous in modern life, spanning industries from video games to telecommunications. This has led to an exponential growth in the amount...

Introducing Amazon CodeWhisperer, the ML-powered coding companion

We are excited to announce Amazon CodeWhisperer, a machine learning (ML)-powered service that helps improve developer productivity by providing code recommendations based on developers’...

Predict types of machine failures with no-code machine learning using Amazon SageMaker Canvas

Predicting common machine failure types is critical in manufacturing industries. Given a set of characteristics of a product that is tied to a given...

Accelerate your career with ML skills through the AWS Machine Learning Engineer Scholarship

Amazon Web Services and Udacity are partnering to offer free services to educate developers of all skill levels on machine learning (ML) concepts with...

Text summarization with Amazon SageMaker and Hugging Face

In this post, we show you how to implement one of the most downloaded Hugging Face pre-trained models used for text summarization, DistilBART-CNN-12-6, within...
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