Cerca
Google ClassroomGoogle Classroom
GeoGebraGeoGebra Classroom

Contenuti

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

    Linear Algebra for Machine Learning

    Autore:Vikash Srivastava
    Argomento:Algebra
    Linear Algebra for Machine Learning

    Sommario

    • 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
    Successivo
    Introduction to Linear Algebra

    Nuove risorse

    • Isosceles Right Triangle
    • Angle Addition Postulate (V2) - Integer Solutions
    • Function Art 3D - Flower
    • Right Triangle Inscribed in a Semicircle
    • Rovnoběžnost rovin

    Scopri le risorse

    • Indiana Jones Related Rates
    • graphs of trigonometric functions
    • G-CO.B.6.1 Mapping #2
    • Kite w/ Instruction
    • MODUL 8A_JARING TABUNG_DEWI PUSPA SARI_SMPN 25 BATAM

    Scopri gli argomenti

    • Rette
    • Funzioni potenza
    • Numeri naturali
    • Istogramma
    • Triangoli rettangoli
    InformazioniPartnerCentro assistenza
    Termini di servizioPrivacyLicenza
    Calcolatrice graficaSuite CalcolatriciRisorse della comunità

    Scarica le nostre app qui:

    Download_on_the_App_Store_Badge_US-UK_RGB_blk_4SVG_092917

    © 2026 GeoGebra®