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

    Linear Algebra for Machine Learning

    作者:Vikash Srivastava
    主題:代數
    Linear Algebra for Machine Learning

    目錄

    • 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
    下一步
    Introduction to Linear Algebra

    最新資源

    • Marion's Theorem
    • רישום חופשי
    • Proof of a Rhombus by Construction and Deduction
    • အခြေခံ data အခေါ်အဝေါ်များ
    • bewijs stelling van Pythagoras

    探索資源

    • Ch.8.2d
    • Distance Between Curves - Horizontal
    • project 1
    • Barry_Period4_Reflection
    • Quadrilateral

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    • 圓錐曲線
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