Remove 2012 Remove Categorization Remove Metadata
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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Role of metadata while indexing data in vector databases Metadata plays a crucial role when loading documents into a vector data store in Amazon Bedrock. Content categorizationMetadata can provide information about the content or category of a document, such as the subject matter, domain, or topic.

Metadata 101
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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning Blog

Use a custom transform step to create categorical values for state__c , case_count__c , and tenure features. You will see an Amazon Simple Storage Service (Amazon S3) link to a metadata file. On the IAM console, navigate to the SageMaker domain execution role. Choose Add permissions and select Create an inline policy.

ML 90
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Publish predictive dashboards in Amazon QuickSight using ML predictions from Amazon SageMaker Canvas

AWS Machine Learning Blog

You can add metadata to the policy by attaching tags as key-value pairs, then choose Next: Review. You can send batch predictions to QuickSight for numeric, categorical prediction, and time series forecasting models. Choose Create policy. Choose Next: Tags. For more information about using tags in IAM, see Tagging IAM resources.

ML 90
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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” Parallel computing Parallel computing refers to carrying out multiple processes simultaneously, and can be categorized according to the granularity at which parallelism is supported by the hardware. The union of advances in hardware and ML has led us to the current day.

ML 98
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Quantization Aware Training in PyTorch

Bugra Akyildiz

Burden of cardiovascular diseases is very large in the world’s economy and it is projected to increase: From 2008 to 2012, there were increased yearly trends for both hospitalizations (from 250,354 to 322,676) and total costs (from US $ 388.52 million per year in 2014 currency) in Shanghai.

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