Lecture: ShannonCovers the basics of information theory, focusing on Shannon's setting and channel transmission.
Deep Learning Modus OperandiExplores the benefits of deeper networks in deep learning and the importance of over-parameterization and generalization.
Machine Learning BiasesCovers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.
Nonlinear Supervised LearningExplores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.