Course Index

Course Index

A quick map of everything in this garden, plus the conventions used across the notes.

Roadmap

#	Module	What it covers	Status
01	Mathematics	Calculus, linear algebra, probability & statistics	🌱 In progress
02	Python & Tools	NumPy, pandas, Matplotlib, Jupyter	🌱 In progress
03	ML Fundamentals	What ML is, supervised learning, linear regression	🌿 Growing
04	Deep Learning	Neural networks, backprop, CNNs, RNNs	🌰 Not started

Conventions

Scalars are lowercase italic ( $x$ ), vectors are bold lowercase ( $\mathbf{x}$ ), matrices are bold uppercase ( $\mathbf{X}$ ).
$m$ is the number of training examples and $n$ the number of features.
A hat means “predicted”: $\hat{y}$ is the model’s estimate of $y$ .

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Last updated on September 20, 2026