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Learner Reviews & Feedback for Linear Algebra: Orthogonality and Diagonalization by Johns Hopkins University

4.9
stars
27 ratings

About the Course

This is the third and final course in the Linear Algebra Specialization that focuses on the theory and computations that arise from working with orthogonal vectors. This includes the study of orthogonal transformation, orthogonal bases, and orthogonal transformations. The course culminates in the theory of symmetric matrices, linking the algebraic properties with their corresponding geometric equivalences. These matrices arise more often in applications than any other class of matrices. 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....

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1 - 6 of 6 Reviews for Linear Algebra: Orthogonality and Diagonalization

By William S

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Nov 12, 2024

Great instructor! To get the most out of the course, take it a bit slow and digest all the supplemental material and do the proofs. The computational aspect is the easy part. The theory is the meat. I was disappointed not to have a full proof of the spectral theorem, but I think I need the complex variables class to fill in the missing bits.

By Afsin Y

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Feb 19, 2024

Fantastic concept with theorems. I followed this along with another lecture and they complemented each other greatly. This is one of the best on the subject. Really go over the exam questions, I learnt a lot through them too.

By Maciej D

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Nov 5, 2024

It is great, the guy on the videos knows a lot, its a pity he writes so fast :))

By GOLKONDA R

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Oct 31, 2024

Nice for the online platform

By Jyun-Hao C

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Oct 31, 2024

Great course

By Anastasia M

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Apr 30, 2024

There could be more practice questions before moving on to the next topic, but the information is presented quite well. The explanations of the course content is good. I found this whole series a great primer.