Remove scp-standards support-standard
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What’s the Downside of Tying Agent CSAT Scores to Their Performance?

SurveySensum

Now, imagine one of your customer support agents received a call from a frustrated customer on how your product failed to meet the customer’s expectations. He suggests an alternative approach: “establishing quality processes and setting up standards to ensure that agents follow the right procedures.”

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Create synthetic data for computer vision pipelines on AWS

AWS Machine Learning

It also has an extremely active support community where most, if not all, user errors are solved. working_blender_dir scp -i "your.pem" working_blender_dir.tar.gz It has an extremely comprehensive rigging, animation, and simulation suite that allows the creation of 3D worlds for nearly any computer vision use case.

Data 82
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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. In addition, the administrator sets up a variety of organization units (OUs) and initial accounts to support your ML and analytics workflows.