LECTURE

• [01] Lecture 1 (21.02.2025): Organizational issues, Introduction, Fisher's linear discriminant (two classes) T1 Polish slides
• [03] Lecture 2 (07.03.2025): Fisher's linear discriminant (cntd), Bayes classifier, naive Bayes classifier T1 Polish slides
• [04] Lecture 3 (14.03.2025): Linear and Quadratic Discriminant Analysis, k-nearest neighbors T1 Polish slides
• [05] Lecture 4 (21.03.2025): Classifier assessment methods T1 Polish slides, Hands-on 1: Handouts


• [06] (28.03.2025): Test 1 (Exemplary test 1)


• [07] Lecture 5 (04.04.2025): Classification trees T2 Polish slides
• [08] Lecture 6 (11.04.2025): Ensamble methods T2 Polish slides
• [09] Lecture 7 (17.04.2025): Support vector machines T2 Polish slides


• [10] (09.05.2025): Test 2 (Exemplary test 2)


• [11] Lecture 8 (14.05.2025): cluster analysis T3 Polish slides

T1 - covered by the first test
T2 - covered by the second test
T3 - covered by the third test

• Set of exam questions