You can find the source on the GitHub project.
The notes are collecting using my interpretation of the Zettelkasten method.
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Identity Matrix
When you multiply a matrix $(A)$ by the Identity Matrix $(I)$, you get the original matrix back.
$A …$

Mathematics for Machine Learning
Notes from Coursera's Mathematics for Machine Learning: Linear Algebra by Imperial College London

Law Of Cosines
The Law of Cosines expresses the relationship between the length of a triangle's sides and one of its angles.

Law of cosines (Khan Academy)
Notes from the Khan Academy video series on the Law of Cosines

Roblox Vector3

Deep Learning for Coders (2020)
Notes from the Deep Learning for Coders (2020) video series by Jeremy Howard and Sylvain Gugger (fast.ai)

Matrix Multiplication
Matrix multiplication is a mathematical operation between 2 matrices that returns a matrix.
For each row in the first matrix, take the Dot Productf …


Binary CrossEntropy Loss
Binary CrossEntropy (BCE), also known as log loss, is a loss function used in binary or multilabel machine learning training.
It's nearly identical to Negative …