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Mathematics

Linear Algebra for AI - From Arrows to Attention

This is a linear algebra course that explores the meaning of vectors and matrices through illustrations and works through calculations using small examples. It covers the mathematics used in linear regression, PCA, SVD, tensors, and attention step by step. No programming knowledge is required.

(5.0) 1 reviews

77 learners

Level Basic

Course period Unlimited

Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Artificial Neural Network
Artificial Neural Network
Linear Algebra
Linear Algebra
AI
AI
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Artificial Neural Network
Artificial Neural Network
Linear Algebra
Linear Algebra
AI
AI
News list
codingmax님의 프로필 이미지
codingmax

The new lecture for “Linear Algebra for AI” has been uploaded.

Hello, this is CodingMax.

The new course and class materials for “Linear Algebra for AI” have all been uploaded. You can now take the entire course.

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This course has been revised to include foundational explanations, so even those new to linear algebra can follow along step by step. It covers everything from the basic concepts of vectors and matrices to calculation methods and notation, and also explores how the concepts you learn are used in real-world technology.

The following five projects are also included in the new course.

  • 3D rendering pipeline

  • Linear regression

  • Image compression using SVD

  • Recommendation Systems

  • Attention

As previously announced, the existing lecture videos and course materials have been removed and replaced with the new lectures and materials.

We sincerely thank everyone who waited. We hope the new lectures help you understand linear algebra and study AI. 🙇‍♂️

Best regards, Coding Max.

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