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Outline

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

    Linear Algebra for Machine Learning

    Author:Vikash Srivastava
    Topic:Algebra
    Linear Algebra for Machine Learning

    Table of Contents

    • 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
    Next
    Introduction to Linear Algebra

    New Resources

    • အခြေခံ data အခေါ်အဝေါ်များ
    • Reflection across a line
    • Reflection Across 2 Parallel Lines
    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם
    • z`]]

    Discover Resources

    • Trig Inverse Functions
    • قطع خاصة_متوسط
    • intersection
    • Collection
    • Discovery, Remediation, Differentiation, Assessment
    • Week 8 Day 1 Lesson Summary

    Discover Topics

    • Sphere
    • Arithmetic Operations
    • Probability
    • Cone
    • Quadrilaterals
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