[[["Łatwo zrozumieć","easyToUnderstand","thumb-up"],["Rozwiązało to mój problem","solvedMyProblem","thumb-up"],["Inne","otherUp","thumb-up"]],[["Brak potrzebnych mi informacji","missingTheInformationINeed","thumb-down"],["Zbyt skomplikowane / zbyt wiele czynności do wykonania","tooComplicatedTooManySteps","thumb-down"],["Nieaktualne treści","outOfDate","thumb-down"],["Problem z tłumaczeniem","translationIssue","thumb-down"],["Problem z przykładami/kodem","samplesCodeIssue","thumb-down"],["Inne","otherDown","thumb-down"]],["Ostatnia aktualizacja: 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,[]]
