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  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

    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם
    • Slope and Road Signs
    • Slope Between 2 Points (Phase 2)
    • Random Polar Curve (3)
    • Rose Curve

    Descobrir recursos

    • Tesselation
    • Absolute Value Inequality Illustrators
    • Static Equilibrium of an Arm
    • التطابق
    • Double Reflection Over Intersecting Lines Challenge

    Explorar Tópicos

    • Limites
    • Teoria dos Conjuntos
    • Transformação de semelhança ou semelhança
    • Porcentagens
    • Translação
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