Linear Algebra for Machine Learning | Vectors, Matrices & Geometry Explained

Linear algebra is the foundation of machine learning.

In this video, I explain the core linear algebra concepts used in machine learning models, starting from basic geometry and gradually building up to vectors and matrices. The focus is on understanding both the intuition and how these concepts are applied in real machine learning algorithms.

This video covers:
• Straight lines and coordinate geometry
• Vectors and vector representation
• Matrices and basic matrix operations
• How linear algebra concepts are used in machine learning models
• Geometric intuition behind machine learning algorithms

This video is ideal for:
• Machine learning beginners
• Data science students
• Anyone struggling to understand the math behind ML
• Learners preparing for AI and ML interviews

If you are starting your journey in machine learning or want to strengthen your mathematical foundation, this video will help you build the right intuition.

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Видео Linear Algebra for Machine Learning | Vectors, Matrices & Geometry Explained канала Tanmoy Learning Lab