Theory, Methods and Applications of Active Learning
Adversarial Examples
Light, charges and brains
Statistics for Applications
Modelling Genomic Data
Mathematics of Machine Learning
Precalculus: Stitz Zeager
Algorithmic Aspects of Machine Learning
Principles of Digital Communication II
Prediction: Machine Learning and Statistics