Simplify medical image classification using Amazon SageMaker Canvas

Favorite Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced by clinicians and researchers in

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Shared by AWS Machine Learning October 4, 2023

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

Favorite This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. The analysis that inspired this post was originally written by Jennifer Reiber Kyle. Amazon SageMaker geospatial capabilities combined with Planet’s satellite data can be used for crop segmentation,

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Shared by AWS Machine Learning September 29, 2023

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

Favorite In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. However, as organizations increasingly harness the power of FMs, concerns surrounding data privacy, security, added cost, and compliance have become paramount. Regulated and

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Shared by AWS Machine Learning September 28, 2023