DataSci Blog - Data Science & Machine Learning

Mathematics

Statistical theory and mathematical foundations for Data Science

Core Topics

Matrices, vectors, eigenvalues, and their applications in ML

Derivatives, integrals, and optimization techniques

Probability theory and statistical inference

Random variables, distributions, and probabilistic modeling

Mathematical optimization methods for machine learning

Computational approaches to mathematical problems

Explore the mathematical foundations of linear regression

Intermediate30 minutes

Understanding the mathematics behind PCA

Advanced45 minutes