[null,null,["Zuletzt aktualisiert: 2025-02-25 (UTC)."],[[["This course explores clustering use cases, appropriate similarity measures, and the k-means algorithm for data clustering."],["Learners will gain skills in evaluating clustering results and applying dimensionality reduction techniques like autoencoders."],["Basic knowledge of machine learning problem framing and core concepts like numerical data handling and overfitting is required."]]],[]]
