Скачать или смотреть #12. Linear Algebra for Data Science | Python & NumPy Tutorial | Data Science & AI & ML Full Course

Master **Linear Algebra**, a foundational concept in **Data Science, Machine Learning, and AI**. Linear Algebra is used in algorithms, data transformations, and dimensionality reduction.

In this tutorial, you will learn:
✅ Vectors and matrices
✅ Matrix operations: addition, multiplication, transpose
✅ Determinants, inverses, and rank
✅ Eigenvalues and eigenvectors
✅ Differentiation and Integration

By the end, you’ll understand *Linear Algebra concepts* and be ready to apply them in data analysis, AI, and machine learning projects. 🚀
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Github Link: https://github.com/edumentordeepti/Fo...
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Chapter/ Timestamp:
00:00 - Intro
00:38 - What is Linear Algebra?
03:42 - What is Vector?
06:20 - Vector Addition, Substraction and Multiplication
11:29 - Applications of Vectors
13:36 - Matrix
16:56 - Matrix Operations
22:24 - Linear Equations
25:00 - Differentiation and Integration
27:45 - Outro
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DISCLAIMER:
This video is created for educational purposes only. We do not own any copyrights, all code, resources shared are for learning only and all rights go to their respective owners. Please respect licenses and terms of use when implementing in your projects. The usage is non-commercial and we do not make any profit from it. The sole purpose of this vides is to " Learn & Grow... " together in the field of Artificial Intelligence and Machine Learning.