Dimensionality Reduction
Data Science · University of Applied Sciences · Machine Learning
This unit introduces the concepts and techniques of Dimensionality Reduction, including Principal Component Analysis (PCA) and Singular Value Decomposition (SVD). Students will learn how to apply these techniques for feature extraction and data analysis in Machine Learning and Data Science.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Dimensionality Reduction
- Principal Component Analysis (PCA)
- Singular Value Decomposition (SVD)
- Feature Extraction
- Applications of Dimensionality Reduction in Machine Learning and Data Science
Stichworte
- Dimensionality Reduction
- PCA
- SVD
- Data Analysis
- Machine Learning
- Data Science