Quality assurance strategies for machine learning applications in big data analytics: an overview

Quality assurance strategies for machine learning applications in big data analytics: an overview

Abstract Machine learning (ML) models have gained significant attention in a variety of applications, from computer vision to natural language processing, and are almost always based on big data. There are a growing number of applications and products with built-in machine learning models, and this...

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Bibliographic Details
Main Authors: Mihajlo Ogrizović, Dražen Drašković, Dragan Bojić
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Journal of Big Data
Subjects:
Quality assurance
Machine learning
Big data
Model quality
Data quality
ML pipeline quality
Online Access:https://doi.org/10.1186/s40537-024-01028-y

Internet

https://doi.org/10.1186/s40537-024-01028-y

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