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A tensor formalism for computer science
A tensor formalism for computer science Jon Bratseth bratseth@verizonmedia.com Verizon Media Trondheim, Norway Håvard Pettersen havard.pettersen@verizonmedia.com Verizon Media Trondheim, Norway Les...docs.vespa.ai/en/a_tensor_formalism_for_computer_science.pdfRegistered: Fri Dec 27 04:31:00 UTC 2024 - Last Modified: Sat Dec 21 01:19:17 UTC 2024 - 567.1K bytes - Viewed (0) -
Attribute-memory-Vespa.xls
Sheet1 Attribute memory usage example Number of documents 200000000 Resize overhead factor 1.2 Constants (don’t edit): Enum index width 4 Enum value width 4 Posting entry width (singlevalue) 4 Post...docs.vespa.ai/en/files/Attribute-memory-Vespa.xlsRegistered: Fri Dec 27 04:31:56 UTC 2024 - Last Modified: Sat Dec 21 01:19:17 UTC 2024 - 27K bytes - Viewed (0) -
Overview of machine learning with Amazon SageMa...
Get an overview of machine learning, including a typical machine learning workflow and how to accomplish workflow tasks.docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-mlconcepts.htmlRegistered: Fri Dec 27 01:15:25 UTC 2024 - Last Modified: Thu Dec 26 09:24:39 UTC 2024 - 18.9K bytes - Viewed (0) -
AWS managed policies for Amazon SageMaker geosp...
Learn about AWS managed policies for SageMaker geospatial and recent changes to those policies.docs.aws.amazon.com/sagemaker/latest/dg/security-iam-awsmanpol-geospatial.htmlRegistered: Fri Dec 27 01:15:44 UTC 2024 - Last Modified: Thu Dec 26 09:25:48 UTC 2024 - 18.4K bytes - Viewed (0) -
Generative AI assistance for solving ML problem...
Use Amazon Q Developer for conversational generative AI assistance while you solve business problems and build machine learning models.docs.aws.amazon.com/sagemaker/latest/dg/canvas-q.htmlRegistered: Fri Dec 27 01:17:43 UTC 2024 - Last Modified: Thu Dec 26 09:24:53 UTC 2024 - 29.8K bytes - Viewed (0) -
Model performance optimization with SageMaker N...
Neo is a capability of Amazon SageMaker AI that enables machine learning models to train once and run anywhere in the cloud and at the edge.docs.aws.amazon.com/sagemaker/latest/dg/neo.htmlRegistered: Fri Dec 27 01:17:59 UTC 2024 - Last Modified: Thu Dec 26 09:25:36 UTC 2024 - 15K bytes - Viewed (0) -
Model deployment at the edge with SageMaker Edg...
Amazon SageMaker Edge Manager provides model management for edge devices so you can optimize, secure, monitor, and maintain machine learning models on fleets of edge devices such as smart cameras, robots, personal computers, and mobile devices.docs.aws.amazon.com/sagemaker/latest/dg/edge.htmlRegistered: Fri Dec 27 01:18:11 UTC 2024 - Last Modified: Thu Dec 26 09:25:35 UTC 2024 - 15.8K bytes - Viewed (0) -
Amazon SageMaker Model Dashboard - Amazon SageM...
Introduction to the Model Dashboard.docs.aws.amazon.com/sagemaker/latest/dg/model-dashboard.htmlRegistered: Fri Dec 27 01:18:22 UTC 2024 - Last Modified: Thu Dec 26 09:25:46 UTC 2024 - 18.8K bytes - Viewed (0) -
Amazon SageMaker Experiments in Studio Classic ...
Experiment tracking using the SageMaker Experiments Python SDK is only available in Studio Classic. We recommend using the new Studio experience and creating experiments using the latest SageMaker AI integrations with MLflow.docs.aws.amazon.com/sagemaker/latest/dg/experiments.htmlRegistered: Fri Dec 27 01:18:14 UTC 2024 - Last Modified: Thu Dec 26 09:25:21 UTC 2024 - 13.7K bytes - Viewed (0) -
AWS managed policies for Amazon SageMaker Hyper...
Learn about AWS managed policies for Amazon SageMaker HyperPod and recent changes to those policies.docs.aws.amazon.com/sagemaker/latest/dg/security-iam-awsmanpol-hyperpod.htmlRegistered: Fri Dec 27 01:16:25 UTC 2024 - Last Modified: Thu Dec 26 09:25:48 UTC 2024 - 14.4K bytes - Viewed (0)