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domain	ml-ops.org
summary	MLOps, or Machine Learning Operations, is an approach that aims to streamline the machine learning (ML) development process. It enables the design, construction, and management of reproducible, testable, and evolvable ML-powered software. A key component of MLOps is the MLOps Stack Canvas, which helps specify an architecture and infrastructure stack for implementing MLOps. This framework is designed to be application- and industry-neutral, offering a general guideline for creating an end-to-end machine learning development process.
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-manager.com, datamesh-architecture.com, innoq.com
downstreams	women-in-data-ai.tech, github.com, innoq.com, creativecommons.org
nslookup	A 185.199.110.153, A 185.199.108.153, A 185.199.111.153, A 185.199.109.153
created	2024-02-13
updated	2025-03-24
summarized	2025-03-24