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#Deep Learning

// 2 posts found

[MMD]·03/06/2026·10min

Linear Algebra Basics Chapter 1: Systems of Linear Equations and Matrix Singularity

A walkthrough of how systems of linear equations are used in machine learning — covering singular vs. non-singular matrices, linear independence/dependence, and determinant calculation.

#Linear Algebra#Machine Learning#Matrix#Mathematics#Deep Learning

[MMD]·03/06/2026·12min

ML Calculus Chapter 1: Derivatives and Key Differentiation Rules

Build an intuitive understanding of derivatives — the engine behind ML optimization — and master the differentiation rules for constants, polynomials, exponentials, logarithms, and trig functions, plus scalar multiplication, sum, product, and chain rules.

#Calculus#Machine Learning#Differentiation#Derivative#Optimization