A Historical Ambiguity in Deep Learning

Definitions and Caveats for Cosine Similarity and Pearson Correlation Coefficient

MLE VS MAP

Verification of Convex Functions using Hessian Matrix

The Univariate and Multivariate Taylor Theorem

The Univariate and Multivariate Higher-Order Differentials

I-Map to Factorization and Factorization to I-Map

Computing Dihedral Angles Using Cartesian Coordinates

Mathematical Foundations to Neural Network Pruning

Quick Mathematical Definitions

One of the Simplest Probabilistic Classifiers

Principle of Maximum Entropy and Maximum Entropy Distributions