Unsupervised Learning
Bachelor of Science in Computer Science · University · Machine Learning
This unit introduces unsupervised learning, a powerful technique for discovering hidden patterns and structures in unlabeled data. Students will learn about clustering and dimensionality reduction algorithms, such as k-means and PCA, and apply them to real-world datasets.
Zum Üben gibt es 55 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Unsupervised Learning
- Clustering Algorithms
- K-Means Clustering
- Dimensionality Reduction
- PCA Algorithm
- Applications of Unsupervised Learning
Stichworte
- Unsupervised Learning
- Clustering
- K-Means
- PCA
- Data Analysis
- Machine Learning