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ML Foundations

Build the notation foundation before reading deeper model stories.

  1. 01 Machine Learning Notation - From Flight Logs to Symbols Decode the secret language of machine learning notation through an RC flight log story — from rows and features to inputs, labels, indexed values, and predictions.
  2. 02 Neural Network Notation - From Arrows to Weight Matrices Decode neural network notation through a rocket launch story. Learn layers, weight subscripts, Wᵀ, hidden-layer scores, and how vectorization scores a whole dataset at once.
  3. 03 Reading Neural Networks - Every Arrow Has an Address Learn how to read a fully connected neural network diagram — from layers and activations to weight matrices, subscripts, and arrow labels.