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Beschreibung
High data quality is the key for performant machine learning (ML) models in produc-tion. In practice, data quality is preprocessed using several DPP methods that are configured into DPP pipelines. The choice of the DPP pipelines poses a major chal-lenge. To guide data scientists, a meta learning-based decision support system (DSS) have been developed, called Meta-DPP, which assists in the selection of suitable DPP pipelines but do not cover production-specific requirements.
Details
| Verlag | Apprimus Verlag |
| Ersterscheinung | Februar 2023 |
| Maße | 21 cm x 14.8 cm |
| Gewicht | 478 Gramm |
| Format | Softcover |
| ISBN-13 | 9783985551477 |
| Auflage | 1. Auflage |
| Seiten | 322 |
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