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개요

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

    Linear Algebra for Machine Learning

    저자:Vikash Srivastava
    주제:대수
    Linear Algebra for Machine Learning

    목차

    • 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
    다음
    Introduction to Linear Algebra

    새 자료

    • Random Polar Curve (3)
    • Rose Curve
    • Untitled
    • רישום חופשי
    • Viviani's Curve

    자료 찾기

    • Focus and Directrix Distance from Parabola
    • Exit slip 1.09 Makayla Caldero
    • cos,sin,tan
    • Mr.O'Malley-Q3Assigment2
    • Prop2_lemma

    주제 찾기

    • 랜덤실험
    • 확률
    • 덧셈
    • 직선
    • 원뿔
    정보파트너십지원 센터
    서비스 조항개인 정보라이선스
    그래픽 계산기계산기 스위트커뮤니티 자료

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