Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing. Project organizations and machine learning practitioners face manifold challenges and risks whe...

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Bibliographic Details
Main Authors: Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Machine Learning and Knowledge Extraction
Subjects:
machine learning applications
quality assurance methodology
process model
automotive industry and academia
best practices
guidelines
Online Access:https://www.mdpi.com/2504-4990/3/2/392

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https://www.mdpi.com/2504-4990/3/2/392

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