Ensemble Methods

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Glossary

Boosting

Boosting is een machine learning-techniek die de voorspellingen van meerdere zwakke leermodellen combineert om een sterk leermodel te creëren, waardoor de nauwkeurigheid wordt verbeterd en complexe data beter kan worden verwerkt. Lees meer over de belangrijkste algoritmen, voordelen, uitdagingen en toepassingen in de praktijk.

Boosting Machine Learning Ensemble Methods +2
• 4 min read

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