Recommending Data Preprocessing Pipelines for Machine Learning Applications in Production - Maik Frye
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Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
High data quality is the key for performant machine learning (ML) models in production. 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 challenge. To guide data scientists, a meta learning-based decision support system (DSS) have been developed, called Meta-DPP, which assists in the selection of suitabl ... Täydellinen kuvaus
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Kuvaus
High data quality is the key for performant machine learning (ML) models in production. 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 challenge. 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.
Lisätietoja
| Kirjoittaja | Maik Frye |
|---|---|
| Julkaisija | Apprimus Verlag |
| Julkaisuvuosi | 2023 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783985551477 |