domain | ml-ops.org |
summary | MLOps is the process of designing, building, and managing machine learning (ML) models. It aims to create reproducible, testable, and evolvable ML-powered software. In MLOps Stack Canvas, an architecture and infrastructure stack is specified for MLOps by applying a general framework that is application- and industry-neutral. This helps in streamlining the ML development process from design to management. |
title | ML Ops: Machine Learning Operations |
description | Machine Learning Operations |
keywords | machine, learning, software, read, more, model, models, will, part, development, data, application, testing, principles, need, stack, management |
upstreams |
datamesh-architecture.com |
downstreams |
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nslookup | A 185.199.109.153, A 185.199.111.153, A 185.199.110.153, A 185.199.108.153 |
created | 2024-02-13 |
updated | 2024-10-21 |
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