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SHAP: Jak interpretować modele uczenia maszynowego w Pythonie
Nikt nie lubi modeli z czarnej skrzynki. Dzięki wyrafinowanym algorytmom i sporej ilości przygotowanych danych budowanie dobrych modeli jest łatwe, ale co się dzieje w środku? W tym miejscu pojawiają się wyjaśnienia AI i SHAP.
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