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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

    • Circumference of a unit circle
    • Parallel Lines & Related Angles: Quick Reminders
    • Parallel Lines and Angles: Thinking Classroom Exploration
    • AI for Math Teachers (prompt examples)
    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם

    Entdecke Materialien

    • y=x^2
    • elmtv-804-0115hL-7
    • tri....
    • Zeroes: Quadratic Polynomial
    • NC Math 1 MVP 7.3: Factor Fixin'

    Entdecke weitere Themen

    • Natürliche Zahlen
    • Standardabweichung
    • Hypergeometrische Verteilung
    • Sinus
    • Parabel
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