Random Field Ising ModelCovers the Random Field Ising Model, discussing the concept of disorder and the process of finding the ground state.
Maximum Likelihood InferenceExplores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.
Machine Learning BiasesCovers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.
Model Database ResolutionCovers model database resolution, hydrology, GIS, connections, transitions, and validation using various datasets.
Discrete Panel DataExplores discrete panel data, covering static and dynamic models with panel effects and their practical implications.
