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
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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