Lecture slides 2025/26 (updated continuously)

Top-level directory

• IS 01 Introduction.pdf

• IS 02 Nature inspired computation.pdf

• IS 03 Predictive modeling.pdf

• IS 04 Bias, variance and predictive models.pdf

• IS 05 Feature engineering.pdf

• IS 06 Neural networks.pdf

• IS 07 Natural language processing.pdf

• IS 08 Ensemble methods.pdf

• IS 09 Kernel methods.pdf

• IS 10 Transformers for tabular data and time series.pdf

• IS 11 Automated machine learning.pdf

• IS 12 Inference and explanation.pdf

• IS 13 Reinforcement learning.pdf