Alright, future engineers!
The **Identity Matrix (I)** is a square matrix with 1s on the main diagonal & 0s elsewhere.
Ex: For 2x2, `I = [[1,0],[0,1]]`.
Pro-Tip: It's the 1 of matrix multiplication – `AI = IA = A`. Essential for inverses!
#LinearAlgebra #MatrixMath #STEM #StudyNotes
Alright, future engineers!
A **Determinant** is a scalar value that provides properties of a square matrix (e.g., if it's invertible).
Ex: For `A = [[a,b],[c,d]]`, `det(A) = ad - bc`.
Pro-Tip: If `det(A) = 0`, the matrix is singular (no inverse)!
Alright, future engineers!
**Matrix Multiplication:** Combines two matrices, like applying transformations in sequence. Ex: For C=AB, C_ij = sum(A_ik * B_kj). Pro-Tip: Order matters! AB != BA (usually).
Alright, future engineers!
A **Determinant** is a scalar value from a square matrix, indicating if it's invertible. Ex: For A=[[a,b],[c,d]], det(A)=ad-bc. Pro-Tip: If det(A)=0, the matrix is singular – it has no inverse!
Alright, future engineers!
The determinant (det(A)) of a square matrix is a scalar value that tells us about its invertibility & volume scaling. Ex: For A=[a,b;c,d], det(A)=ad-bc. Pro-Tip: If det(A)=0, A is singular (non-invertible)! Crucial info.
I don't know enough about Deepseek and OpenAI to be certain of anything.
I do know that co-processor chips for #MatrixMath, cheap and low-power, are coming from China, sold for the #RaspberryPi as AI hardware.
Nobody is saying whether it matters for this GenAI fuss, but China are talking about this tech. Why this sort of Math?
Keep an eye on the #magpi
Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
kipriyanovich
Wolf_Baginski
(((Jann Gobble)))🏳️🌈
scatter//gather