8.14 Linear Transformation & Change of Basis | Linear Algebra for ML
Автор: Decode AiML
Загружено: 2026-01-15
Просмотров: 221
Описание:
In this lecture, we introduce Linear Transformations and explain how they act on vectors geometrically and algebraically. We then connect linear transformations with change of basis, helping you understand how transformations look different under different coordinate systems - a core idea behind feature transformation, embeddings, and dimensionality reduction in Machine Learning.
Topics Covered:
1. Introduction to Linear Transformation Explained with Examples
2. Change of Basis Explained with Examples
3. Problems Practice on Linear Transformation and Change of Basis
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
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Tags:
linear transformation, change of basis, linear algebra for ml, matrix transformation, vector transformation, feature transformation, embeddings, dimensionality reduction, ml math, data science math
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