Define and run Machine Learning pipelines on Step Functions using Python, Workflow Studio, or States Language

You can use various tools to define and run machine learning (ML) pipelines or DAGs (Directed Acyclic Graphs). Some popular options include AWS Step Functions, Apache Airflow, KubeFlow Pipelines (KFP), TensorFlow Extended (TFX), Argo, Luigi, and Amazon SageMaker Pipelines. All these tools help you compose pipelines in various languages (JSON,

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Shared by AWS Machine Learning September 4, 2021

How Intel Olympic Technology Group built a smart coaching SaaS application by deploying pose estimation models – Part 1

The Intel Olympic Technology Group (OTG), a division within Intel focused on bringing cutting-edge technology to Olympic athletes, collaborated with AWS Machine Learning Professional Services (MLPS) to build a smart coaching software as a service (SaaS) application using computer vision (CV)-based pose estimation models. Pose estimation is a class of

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Shared by AWS Machine Learning September 3, 2021

Enable scalable, highly accurate, and cost-effective video analytics with Axis Communications and Amazon Rekognition

With the number of cameras and sensors deployed growing exponentially, companies across industries are consuming more video than ever before. Additionally, advancements in analytics have expanded potential use cases, and these devices are now used to improve business operations and intelligence. In turn, the ability to effectively process video at

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Shared by AWS Machine Learning August 28, 2021