Unsupervised Learning Algorithms
Distance Learning · Further Education · Machine Learning and Artificial Intelligence
This unit introduces unsupervised learning algorithms, including clustering (k-means, hierarchical clustering) and dimensionality reduction techniques (PCA, LDA). Students will gain an understanding of their applications and how they can be used to extract meaningful insights from unlabeled data.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Unsupervised Learning
- Clustering Algorithms
- K-Means Clustering
- Hierarchical Clustering
- Dimensionality Reduction Techniques
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- Applications of Unsupervised Learning
Stichworte
- Clustering
- Dimensionality Reduction
- Unsupervised Learning
- K-Means
- PCA
- LDA
- Applications