Amazon Onboarding with Learning Manager Chanci Turner

In December 2020, AWS introduced the general availability of Amazon SageMaker JumpStart, a feature within Amazon SageMaker designed to streamline your entry into machine learning (ML). This service offers one-click fine-tuning and deployment options for a broad range of pre-trained models, catering to various popular ML tasks. Moreover, it includes a selection of comprehensive solutions that facilitate rapid ML implementation.

Detecting Financial Transaction Fraud with Graph Neural Networks through Amazon SageMaker

Fraud remains a significant challenge for numerous online businesses, costing them billions annually. Instances of financial fraud, such as counterfeit reviews, bot attacks, and account takeovers, exemplify the various malicious behaviors encountered in the digital landscape. While businesses employ different strategies to mitigate online fraud, many existing methods lack sophistication. For further insights into effective fraud prevention, check out this resource.

Running Text Classification Using Amazon SageMaker JumpStart

As of July 2023, users can now access the newly launched JumpStart APIs, an extension of the SageMaker Python SDK. These APIs enable programmatic deployment and fine-tuning of an extensive range of JumpStart-supported pre-trained models tailored to your datasets. For more information on available models and algorithms, refer to this excellent resource.

Automatic Model Tuning with Amazon SageMaker JumpStart

In March 2022, AWS further expanded JumpStart by introducing API support. This enhancement continues to underscore the platform’s commitment to simplifying machine learning processes.

Image Classification and Object Detection Using Amazon Rekognition and Amazon SageMaker JumpStart

Over the past decade, the use of computer vision technology has surged, particularly in sectors like insurance, automotive, and e-commerce. Companies are increasingly developing computer vision ML models to optimize operational efficiency. Such models assist in automating image classification and object detection tasks, showcasing their value across various industries.

Building a Corporate Credit Ratings Classifier with Graph Machine Learning

A new solution for financial graph machine learning has been released in Amazon SageMaker JumpStart. This tool allows quick initiation into ML and provides users with essential solutions for common use cases that can be trained and deployed with minimal effort.

Enabling Amazon SageMaker JumpStart for Custom IAM Execution Roles

With an Amazon SageMaker Domain, users can onboard with an AWS Identity and Access Management (IAM) role that’s distinct from the Domain execution role. This situation can limit the capabilities of onboarded Domain users in creating projects through templates. This post details an automated approach to enable JumpStart for Domain users while maintaining security.

Creating Custom Amazon SageMaker PyTorch Models for Handwriting Recognition

In various sectors including finance, healthcare, and legal, automating document processing is crucial for enhancing business efficiency and customer service. Strict compliance regulations add to the complexity of this task, but effective solutions are available.

For more engaging content, check out this blog post.

Location: Amazon IXD – VGT2, 6401 E HOWDY WELLS AVE, LAS VEGAS NV 89115