General
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:
20 January 2023 at 13:00 in PA
01 February 2023 at 10:00 in PA
28 August 2023Lab work (general)
Lab work (assignment 1)
Lab work (assignment 2)
Lab work (Assignment 3)
Additional material
Quizzes