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Tag: Amazon SageMaker

Thailand Plans to Tighten Crypto Oversight, Giving Central Bank More Powers to Regulate Digital Assets

Thailand is reportedly preparing to amend its law on digital assets to tighten the oversight of the crypto sector and empower the Thai central...

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Scale YOLOv5 inference with Amazon SageMaker endpoints and AWS Lambda

After data scientists carefully come up with a satisfying machine learning (ML) model, the model must be deployed to be easily accessible for inference...

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...

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

There have been many recent advancements in the NLP domain. Pre-trained models and fully managed NLP services have democratised access and adoption of NLP. Amazon...

Team and user management with Amazon SageMaker and AWS SSO

Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...

Build and train ML models using a data mesh architecture on AWS: Part 2

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large...

Integrate Amazon SageMaker Data Wrangler with MLOps workflows

As enterprises move from running ad hoc machine learning (ML) models to using AI/ML to transform their business at scale, the adoption of ML...
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Predict shipment ETA with no-code machine learning using Amazon SageMaker Canvas

Logistics and transportation companies track ETA (estimated time of arrival), which is a key metric for their business. Their downstream supply chain activities are...

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

This is a guest post co-written with Mutisya Ndunda from Trumid. Like many industries, the corporate bond...

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

The process of building a machine learning (ML) model is iterative until you find the candidate model that is performing well and is ready...

Build taxonomy-based contextual targeting using AWS Media Intelligence and Hugging Face BERT

As new data privacy regulations like GDPR (General Data Protection Regulation, 2017) have come into effect, customers are under increased pressure to monetize media...

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...

Achieve enterprise-grade monitoring for your Amazon SageMaker models using Fiddler

This is a guest blog post by Danny Brock, Rajeev Govindan and Krishnaram Kenthapadi at Fiddler AI. ...
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