[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Benötigte Informationen nicht gefunden","missingTheInformationINeed","thumb-down"],["Zu umständlich/zu viele Schritte","tooComplicatedTooManySteps","thumb-down"],["Nicht mehr aktuell","outOfDate","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Problem mit Beispielen/Code","samplesCodeIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 2025-07-27 (UTC)."],[[["\u003cp\u003eThis course explores clustering use cases, appropriate similarity measures, and the k-means algorithm for data clustering.\u003c/p\u003e\n"],["\u003cp\u003eLearners will gain skills in evaluating clustering results and applying dimensionality reduction techniques like autoencoders.\u003c/p\u003e\n"],["\u003cp\u003eBasic knowledge of machine learning problem framing and core concepts like numerical data handling and overfitting is required.\u003c/p\u003e\n"]]],[],null,[]]
