I’m working on a artificial intelligence multi-part question and need guidance to help me study.
hello did you know about these topics< – BN: JP, MP, CP, Bayes theorem, Chain rule, product rule, you have to know how can compute different probabilities from JP table; BN, joint probability from BN, CP from BN (inference), –> calculation and formulas – Learning: KNN, distances, features spaces, feature vectors, performance evaluation, TP, TN, FP, FN, precision, recall, f-score, … —-> calculation – FOL: 2 questions (from english to predicate or from predicate to english) – Search: A* (find shortest path)
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