From why we need memory in neural networks to the math of Backpropagation Through Time.

Learn about KNN and implement it on the iris dataset.

Classify handwritten digits from the MNIST dataset using only numpy.

Implement a neural network without PyTorch, TensorFlow, or any other library.

How a neural network works and how it was developed.

Understanding overfitting and the types of regularisation that fix it.

Gradient descent from the basics, with the math and visualisations.

Six months of building zTutor — the inspiration, the pivots, the near-misses, and why I decided to stop.

My three-phase workflow for using AI coding assistants without creating a mess.

Why I'm building zTutor and the current scenario of modern education.