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Understanding intelligent systems from first principles.

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April 2026

Apr 5 — Apr 11

The Capstone: The Batch-Processing RegressorApr 11
The Curse of Multicollinearity: Redundant DataApr 10
Transposition & Shapes: Aligning the MathApr 9
Matrix-Matrix Multiplication: Deep Learning & Hidden LayersApr 8
Matrix-Vector Multiplication: The Batch Forward PassApr 7
Matrix Addition & Scalar MultiplicationApr 6
What is a Matrix? Representing DatasetsApr 5

Mar 29 — Apr 4

The Capstone: Object-Oriented ML ArchitectureApr 4
Brute-Force Learning: The Training LoopApr 3
Measuring Error: How Wrong is Our Model?Apr 2

February 2026

Feb 22 — Feb 28

Functions and Lines: Adding the BiasFeb 25
The Dot Product: Applying Importance with WeightsFeb 24
Euclidean Distance: Measuring SimilarityFeb 23
What is a Vector? Translating the Real World into CodeFeb 22

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