HomeLibraryLinear Algebra for AI

Cover of Linear Algebra for AI

Accessible digital edition

DIGITAL E-BOOKBachelor

EXPLORE THIS TITLE

Linear Algebra for AI

Bachelors Program in AI & ML

Explore Linear Algebra for AI as part of Bachelors Program in AI & ML. Read the syllabus and available chapters online.

Academic programmeBachelors Program in AI & ML

LevelBachelor

Reading sections16

SourceLibrary syllabus and chapters

No account needed • Read on any device

INSIDE THE BOOK

Explore the chapters.

Jump into any section and continue reading at your own pace.

Linear Algebra for AISyllabus

Mathematical Language Scalars Vectors And MatricesChapter 1

Systems Of Linear EquationsChapter 2

Vector Spaces Subspaces And BasesChapter 3

Linear And Affine TransformationsChapter 4

Inner Product Spaces Orthogonality And Least SquaresChapter 5

Determinants Rank And InvertibilityChapter 6

Eigenvalues Eigenvectors And Spectral TheoryChapter 7

Matrix Factorizations And Low Rank ApproximationChapter 8

Numerical And Sparse Linear AlgebraChapter 9

Matrix Calculus And TensorsChapter 10

Linear Algebra For OptimizationChapter 11

Probability Statistics And Data AnalyticsChapter 12

Linear Algebra In Machine Learning And AiChapter 13

Scalable Implementation And Industry PracticeChapter 14

Responsible Practice And Emerging DirectionsChapter 15