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Matrix Methods

University of Minnesota via Coursera

Description

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.

Tags
Electrical Engineering Social Media Marketing

Syllabus

  • Matrices as Mathematical Objects
  • Matrix Multiplication and other Operations
  • Systems of Linear Equations
  • Linear Least Squares
  • Singular Value Decomposition

Matrix Methods

University of Minnesota
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  • Type
    Online Courses
  • Provider
    Coursera

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.

  • Matrices as Mathematical Objects
  • Matrix Multiplication and other Operations
  • Systems of Linear Equations
  • Linear Least Squares
  • Singular Value Decomposition

Tags

Electrical Engineering Social Media Marketing

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