ML Mathematics
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10 lessons3 levels1 capstone project
Master the mathematics most useful for understanding and building machine learning systems.
BASIC
- Essence of Linear Algebra Preview — 3Blue1Brown (5 min)
The fastest visual mental model for vectors, transformations and why linear algebra matters. - The Essence of Calculus — 3Blue1Brown (17 min)
Builds derivative and rate- of-change intuition visually before formulas. - Main Ideas Behind Probability Distributions — StatQuest (7 min)
Fast probability foundation for statistical ML.
INTERMEDIATE
- Eigenvectors & Eigenvalues — 3Blue1Brown
A deeper treatment of the same skill; use it to move from concept to working patterns. - Bayes Theorem — StatQuest
A deeper treatment of the same skill; use it to move from concept to working patterns. - Stochastic Gradient Descent — StatQuest
A deeper treatment of the same skill; use it to move from concept to working patterns.
ADVANCED
- Intermediate Course + Project — SQL for Data Analytics
Extend ML Mathematics into senior/production practice through SQL & Analytics. - Step by Step — Machine Learning Project Workflow
Extend ML Mathematics into senior/production practice through Machine Learning. - NumPy Tutorial for Beginners — freeCodeCamp / Keith Galli
Extend ML Mathematics into senior/production practice through Mathematics for Data Science.