Abstract: The Hamming distance, a fundamental measure of dissimilarity between data points, plays a crucial role in various fields, including error detection, machine ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: This qualitative case study examines a binational Collaborative Online International Learning (COIL) activity that uses matrix cryptography to teach matrix inversion and connect linear ...