Splošno
About the course
Lectures
The course syllabus.
Topic Lectures 1 Syllabus and obligations 2 Nature inspired computation, genetic algorithms 3 Predictive modeling 4 Bias and variance 5 Feature evaluation and selection 6 Ensemble learning 7 Kernel methods 8 Neural networks 9 Natural language processing 10 Model explanation methods 11 Reinforcement learning
Exams
Exam dates:
25 January 2022
04 February 2022
31 August 2022Lab work (general)
Lab work (assignment 1)
Lab work (assignment 2)
Lab work (Assignment 3)
Quizzes
Additional material