ml-i-ii_30-04-26 — moved
This topic reference has been merged into the atomic hub note Machine Learning I & II (in z 🛸Alle Notizen/).
All content — Mitchell’s definition, learning paradigms, inductive bias, bias-variance tradeoff, Decision Trees & ID3, entropy & Information Gain, Random Forests / Bagging / OOB, similarity & clustering (k-means, hierarchical), cross-validation, TF-IDF, formulas, exam traps, comparison table, and the ALGORITHMS pseudocode block — now lives there.
Companion files (unchanged):
Tags: methods-of-ai ai-generated