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Technical Books & Roadmaps

Structured step-by-step paths through hard textbooks, with lectures, sample chapters, and problem sets published free by their authors.

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A=Linear Algebra and Learning from DataGilbert Strang
First Editionadvanced

Linear Algebra and Learning from Data

Gilbert Strang · 2019

Gilbert Strang's graduate text connects the linear algebra you half-remember to the mathematics running underneath modern machine learning: the SVD, low-rank approximation, optimization, and the structure of neural networks. This roadmap walks all 46 sections in order and points each one at the material MIT publishes for free.

Linear AlgebraDeep LearningOptimizationData Science
Reading Progress0%
7 Parts · 46 Sections
Roadmap
Introduction to Linear AlgebraGilbert Strang
Sixth Editionintroductory

Introduction to Linear Algebra

Gilbert Strang · 2023

Gilbert Strang's world-renowned introductory textbook connects the geometry of vectors and elimination to the fundamental subspaces, eigenvalues, the SVD, and modern optimization. This roadmap covers all 10 chapters and maps each section to Professor Strang's famous MIT 18.06 video lectures and problem sets.

Linear AlgebraApplied MathematicsData Science
Reading Progress0%
10 Parts · 39 Sections
Roadmap