Linear Algebra: Orthogonality and Diagonalization

This course is part of Linear Algebra from Elementary to Advanced Specialization

Instructor: Joseph W. Cutrone, PhD

Skills you'll gain

  •   Linear Algebra
  •   Geometry
  •   Numerical Analysis
  •   Mathematical Modeling
  •   Applied Mathematics
  •   Artificial Intelligence and Machine Learning (AI/ML)
  • There are 4 modules in this course

    The theory, skills and techniques learned in this course have applications to AI and machine learning. In these popular fields, often the driving engine behind the systems that are interpreting, training, and using external data is exactly the matrix analysis arising from the content in this course. Successful completion of this specialization will prepare students to take advanced courses in data science, AI, and mathematics.

    Orthogonal Projections and Least Squares Problems

    Symmetric Matrices and Quadratic Forms

    Final Assessment

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