
363 followers • DS & AI
Mar 17, 2025 • 1h 22m • 18 views
Machine Learning Part - 5: Mathematics for ML In this session, we will dive into the essential mathematical concepts that form the foundation of Machine Learning: Linear Algebra – Vectors, Matrices, and Transformations Probability & Statistics – Distributions, Bayes’ Theorem, and Expectation Calculus – Differentiation, Gradient Descent, and Optimization