5 Linear Algebra for AI: Span, Independence & Vector Norms Explained
Автор: Engineering Foundation
Загружено: 2025-11-29
Просмотров: 1
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In this video, we decode the backbone of Machine Learning: Linear Span, Linear Independence, and Vector Norms. If you want to master Artificial Intelligence or Data Science, understanding how vectors behave in space is not optional—it's mandatory.
What you will learn in this video: We move beyond the textbook definitions to give you the "intuition" needed for deep learning.
Linear Span: What is the "reach" of your vectors?
Linear Independence vs. Dependence: How to remove redundancy in your data (Crucial for Dimensionality Reduction/PCA).
Vector Norms (L1, L2): How we measure "size" and "distance" in AI errors (The math behind Loss Functions).
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