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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
    Thema:Algebra
    Linear Algebra for Machine Learning

    Inhaltsverzeichnis

    • 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
    Weiter
    Introduction to Linear Algebra

    Neue Materialien

    • 函數的奇偶性
    • רישום חופשי
    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם
    • montecarlo circles 5
    • bewijs stelling van Pythagoras

    Entdecke Materialien

    • wilcoxon (verbundene SP)
    • #4) Midpoints in Taxicab
    • Arcs Chords & Segments of Circles
    • Pentagon
    • Heating something up
    • Accelerated Motion of Two Objects

    Entdecke weitere Themen

    • Inkreis
    • Arithmetisches Mittel
    • Tangens
    • Natürliche Zahlen
    • Fläche
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