This is the rendered collections of notes by me, Lex Toumbourou.

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

In Roblox, a Vector3 defines a Vector with three components. We use it for setting the position, rotation, and size of elements.

For example, a …

• ## 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 …

• ## Dot Product

An operation between 2 vectors that returns a number.

• ## Binary Cross-Entropy Loss

Binary Cross-Entropy (BCE), also known as log loss, is a loss function used in binary or multi-label machine learning training.

It's nearly identical to Negative …

• ## Presizing

Pre-sizing is a technique for preparing images for training a neural network.

In standard image pipelines, images are resized to a size suitable for our …