Machine Learning Part- 4

Mar 16, 2025 • 1h 43m • 43 views

In this session, we will explore the fundamental concepts of Linear Algebra, a crucial mathematical foundation for Machine Learning. The discussion will cover: Vectors & Matrices – Understanding their role in data representation Matrix Operations – Addition, multiplication, and transformations Determinants & Inverses – Their significance in solving ML problems Eigenvalues & Eigenvectors – Applications in dimensionality reduction (PCA)