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engineering.zalando.com
| | www.altexsoft.com

A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment.
0.8 parsecs

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| | research.google

[AI summary] This collection of publications highlights Google's advancements in software engineering, including ML-assisted code reviews, automated program verification for Rust, and secure-by-design ecosystem strategies.
2.0 parsecs

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| | www.allthingsdistributed.com

Amazon Sagemaker enables data scientists and developers to quickly and easily build, train, and deploy ML models without getting mired in the challenges that slow this process down today.
2.5 parsecs

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| | hypernephelist.com

In a recent project, we worked with our customer on a sustainability project whose goal was to leverage geospatial and climate data to build a platform to pe...
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