Søg
Google ClassroomGoogle Classroom
GeoGebraGeoGebra Classroom

Opsummering

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

    Linear Algebra for Machine Learning

    ForfatterVikash Srivastava
    Emne:Algebra
    Linear Algebra for Machine Learning

    Indholdsfortegnelse

    • 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
    Næste
    Introduction to Linear Algebra

    Nye Materialer

    • Riemann Sums
    • Vertical and Oblique Asymptote
    • Graphs of Rational Expressions
    • רישום חופשי
    • bewijs stelling van Pythagoras

    Opdag Ressourcer

    • spiralarcSum
    • ElevatorDoor
    • proposition 3
    • Interior Angles
    • Histogram'in kopyası
    • Kvíz: Függvények összeadása grafikailag

    Udforsk emner

    • Logaritme
    • Division
    • Normalfordeling
    • Subtraktion
    • Brøker
    OmPartnereHelp Center
    ServicevilkårPrivatlivLicens
    GraftegnerMatematikværktøjssuiteCommunity Resourcer

    Download vores apps her:

    Download_on_the_App_Store_Badge_US-UK_RGB_blk_4SVG_092917

    © 2025 GeoGebra®