Covers feature extraction, clustering, and classification methods for high-dimensional datasets and behavioral analysis using PCA, t-SNE, k-means, GMM, and various classification algorithms.
Explores the practical application of language theory, including quicksort, gradual typing, and efficient memory management, as well as the challenges of reduction program synthesis.