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

    Linear Algebra for Machine Learning

    Auteur:Vikash Srivastava
    Onderwerp:Algebra
    Linear Algebra for Machine Learning

    Inhoudstafel

    • 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
    Volgende
    Introduction to Linear Algebra

    Nieuw didactisch materiaal

    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם
    • Regular Polygons and Equivalent Triangles
    • Building Figures with Set Areas
    • Focus and Directrix
    • Building Parallelograms with Set Areas

    Ontdek materiaal

    • Volumes by slicing
    • Lemma 8.18
    • ambiguous 2b
    • What Kind of Quadrilateral is This? (Part 2)
    • พื้นผิวในปริภูมิสามมิติ

    Ontdek onderwerpen

    • Breuken
    • Driehoeken
    • Oppervlak
    • Figuren
    • Bol
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