Машинное обучение 3. Linear Classification

00:07 - повторение, разбор теста 05:05 - classification problem, margin 13:50 - square loss 18:45 - logistic regression 22:40 - sigmoid function, MLE 33:45 - multiclass classification 40:15 - One vs Rest & One vs One 42:50 - accuracy, precision & recall 54:15 - F-score 59:00 - ROC, ROC-AUC 01:09:40 - Precision-Recall Curve, multiclass metrics 1:14:00 - Confusion matrix Семинар: Лекции по машинному обучению: