Estimation and CorrelationExplains estimation, correlation, and Pearson correlation in statistics, focusing on measuring and describing relationships between variables.
PCA: Key ConceptsCovers the key concepts of Principal Component Analysis (PCA) and its practical applications in data dimensionality reduction and feature extraction.
Independence and CovarianceExplores independence and covariance between random variables, discussing their implications and calculation methods.
Complex Systems: EpidemicsDelves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.
Efficient Data ClusteringCovers efficient data exploitation through clustering methods and the optimization of market returns using asset clustering.
