Search
Google ClassroomGoogle Classroom
GeoGebraGeoGebra Classroom

Outline

  1. Linear Algebra for Machine Learning
    1. Introduction to Vectors
    2. Introduction to Matrices

    Linear Algebra for Machine Learning

    Author:Vikash Srivastava
    Topic:Algebra
    Linear Algebra for Machine Learning

    Table of Contents

    • Introduction to Vectors

      • Introduction to Linear Algebra
      • What is a vector ?
      • Introduction to Vectors
      • Scaling Vectors
      • Vector Addition
      • Adding Vectors Geometrically
      • Vector Subtraction
      • Dot Product Insight
      • Vector Projections
      • Orthogonality Illustrated
      • Cross Product Insight
      • Vector Norms
    • Introduction to Matrices

      • Theory of Matrices
      • Determinant of a matrix
      • Inverse of a matrix
      • Eigenvalues & Eigenvectors
    Next
    Introduction to Linear Algebra

    New Resources

    • Rolling Circles and Polygons
    • Angle Addition: Warm Up Exercises
    • Rolling an Equilateral Triangle
    • רישום חופשי
    • Publish app "Public" test

    Discover Resources

    • Exploring Slope and Intercept
    • Real Transformer phasor diagram
    • Sofia
    • Area of a sector

    Discover Topics

    • Right Triangles
    • Stochastic Process or Random Process
    • Unit Circle
    • Scalene Triangles
    • Conic Sections
    AboutPartnersHelp Center
    Terms of ServicePrivacyLicense
    Graphing CalculatorCalculator SuiteMath Resources

    Download our apps here:

    Download_on_the_App_Store_Badge_US-UK_RGB_blk_4SVG_092917

    © 2026 GeoGebra®