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Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press:

https://lnkd.in/eQnqVQ9

#ArtificialIntelligence #LinearAlgebra #Vectors #Matrices #MachineLearning #AI

❇️ @AI_Python
✴️ @AI_Python_EN
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WHAT IS A TENSOR?

Michel Van Biezen give a simple video explanation of what is a scalar, vector, dyad, Triad. They are all essentially Rank 0, 1, 2 and 3 Tensors.

Einstein's Field Equation (3 for x,y,z axes for space and another one for time) is essentially is a Rank 4 Tensor.

In matrices representation you can see how a Rank 3 Tensor is drawn.

Can you draw the Einstein's Rank 4 (256 components) tensor now?

Detail here https://lnkd.in/g9yAGS2

#deeplearning #fundamentals #artificialintelligence #tensor #matrices

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press: https://lnkd.in/eQnqVQ9

#ArtificialIntelligence #LinearAlgebra #Vectors #Matrices #MachineLearning

✴️ @AI_Python_EN
Matrices as Tensor Network Diagrams

By MATH3MA: https://lnkd.in/eY_3daS

#matrix #matrices #tensors #vectors

✴️ @AI_Python_EN