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

    • Reflection across a line
    • Using Experimental Probability to Estimate π - Monte Carlo Method
    • Untitled
    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם
    • seo tool

    Discover Resources

    • sine and cosine functions linked to the unit circle
    • Glide Reflection MBJH Spartans
    • Forum_f=5&t=38620_A_RotationsKörper
    • Constructing a parallelogram
    • Congruent Triangles Theorems
    • Modul 15_B2_Amrin_SMAN 2 Baubau

    Discover Topics

    • Triangles
    • Differential Equation
    • Unit Circle
    • Complex Numbers
    • Confidence Interval
    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®