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What is MLOps

Encyclopedia of Data Science and Machine Learning
MLOps (shortcut for machine learning operations) refers to the automation and streamlining of machine learning pipelines within a deployment setting.
Published in Chapter:
Machine Learning in the Real World
Stylianos Kampakis (Centre for Blockchain Technologies, University College London, UK)
Copyright: © 2023 |Pages: 16
DOI: 10.4018/978-1-7998-9220-5.ch104
Abstract
Most data scientists and machine learning practitioners focus on algorithm development and implementation. However, the proper and successful application of data science in an organisation cannot be separated from business objectives and organisational dynamics. This way of thinking, however, can feel foreign to many data scientists who focus mostly on technical details. The goal of this article is to outline some of the considerations that a data scientist needs to take into account when implementing data science within an organisation. More specifically, this article discusses the topics of data strategy, data science processes, and some recent developments like MLOps.
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A Software Engineering Perspective on Building Production-Ready Machine Learning Systems
A set of best practices that aims at unifying machine learning (ML) system development and machine learning system operation (Ops).
Full Text Chapter Download: US $37.50 Add to Cart
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