8.4 Vector Space, Subspace, Basis & Span | Linear Algebra for ML

Описание: In this video, we cover one of the most fundamental topics in Linear Algebra for Machine Learning—Vector Space, Subspace, Basis, and Span. You will learn the formal definitions along with strong geometric intuition and examples that are frequently tested in ML interviews, GATE exams, and academic courses.

Topics Covered:
1. Introduction to Vector Space Explained with Examples
2. Introduction to Subspace of a Vector Space Explained with Examples
3. Relationship Between Vector Space and Linear Independence
4. Span of a Set of Vectors Explained with Examples
5. Basis of a Vector Space Explained with Examples
6. Standard Basis Explained with Examples

Helpful For:
1. Cracking AI / ML / Data Science interview rounds at top tech companies
2. Building a deeper understanding of core AI, ML concepts
3. Preparing for GATE (DA / CS / Other streams) and other related competitive exams


Our Playlist:
Linear Algebra for ML - Hindi:    • 8. Linear Algebra for ML | Complete Playlist  


#LinearAlgebra #VectorSpace #Subspace #Basis #Span #MachineLearning #MathForML #MLFoundations #DataScience #AI #GATE #decodeaiml

Tags:
vector space, subspace, basis, span, standard basis, linear algebra for machine learning, vector space explained, subspace examples, span of vectors, basis of vector space, linear independence relation, math for ml, machine learning fundamentals, linear algebra basics, ml interview math, gate linear algebra, data science math, ai math foundation