Pesquisar
Google ClassroomGoogle Classroom
GeoGebraTarefa

Esboço

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

    Linear Algebra for Machine Learning

    Autor:Vikash Srivastava
    Tópico:Álgebra
    Linear Algebra for Machine Learning

    Lista de conteúdos

    • 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
    Próximo
    Introduction to Linear Algebra

    Novos Materiais

    • apec
    • Regular Polygons and Equivalent Triangles
    • Sum of Squares: Proof without Words
    • Celsius ↔ Fahrenheit Converter
    • רישום חופשי

    Descobrir recursos

    • Mixing of two solutions- percentage
    • Circle Theorems
    • ClothesLine Math_2-Step Eq
    • Similarity by Transformations

    Explorar Tópicos

    • Circuferência
    • Retas
    • Trigonometria
    • Circuncírculo ou Circunferência Circunscrita
    • Inteiros
    SobreParceirosHelp Center
    Termos de ServiçoPrivacidadeLicença
    Calculadora GráficaCalculadoraRecursos da Comunidade

    Baixe nossos aplicativos aqui:

    Download_on_the_App_Store_Badge_US-UK_RGB_blk_4SVG_092917

    © 2026 GeoGebra®