Cerca
Google ClassroomGoogle Classroom
GeoGebraAula GeoGebra

Esbós

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

    Linear Algebra for Machine Learning

    Autor:Vikash Srivastava
    Tema:Àlgebra
    Linear Algebra for Machine Learning

    Taula de continguts

    • 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
    Següent
    Introduction to Linear Algebra

    Nous materials

    • Midpoint Theorem Questions: Mild
    • Linear Equation Graphs: Thin Slice
    • Right Triangle Inscribed in a Semicircle
    • Perpendicular Lines: Quick Exploration
    • GeoGebra 3D Modeling Workshop (March 8 2024)

    Descobriu materials

    • Eccentricity
    • rotations page 4
    • transformations
    • plane
    • A system of linear equations

    Descobriu Temes

    • El·lipse
    • Ortocentre
    • Esbòs de corba
    • Percentatges
    • Suma
    InformacióCol·laboradorsCentre d'ajuda
    Termes d'úsPrivacitatLlicència
    Calculadora gràficaPaquet d'aplicacionsMaterials de la Comunitat

    Descarregueu-vos les nostres aplicacions aquí::

    Download_on_the_App_Store_Badge_US-UK_RGB_blk_4SVG_092917

    © 2026 GeoGebra®