JD
5.0Reviewed May 31, 2020
Very good course, the questions are really challenging...
Matrix Methods
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.
Status: Dimensionality Reduction
Status: Machine Learning Methods
IntermediateCourse7 hours
Featured reviews
LF
5.0Reviewed Dec 26, 2020
Succinct, informative, efficient. Thank you, Dr. Boley.
AV
5.0Reviewed Aug 31, 2022
This has been a helpful course. I had the chance to learn about practical applications of matrices.
EM
5.0Reviewed Aug 7, 2020
Very good to learn about matrices and/or to remember/refresh previous knowledge.
RM
5.0Reviewed May 26, 2020
Couresa is very helpful of learning skill about matrix .this is very helpful for me
SJ
5.0Reviewed Mar 16, 2020
Really its very informative and basic material provided. I enjoyed and learn a lot
YI
5.0Reviewed Jun 21, 2020
IN assignment 1 please check the question and choices . all the assignments and tutorial are excellent
M
5.0Reviewed Apr 20, 2020
Its a very good experience for me and it helps me to learn new topics and known new matters.Thank You Coursera.
UJ
5.0Reviewed May 10, 2021
It was a great opportunity to know more abut matrices and their characteristics
DB
4.0Reviewed Nov 17, 2019
Pros and cons.Sometimes it's hard to find in this course needed information to solve Assignments.But you have to dig deeper from outside sources.
DK
5.0Reviewed Jul 25, 2020
Course is well designed and gives application knowledge of matrices and decomlosition of matrix by SVD method.
MP
5.0Reviewed Aug 16, 2020
Thank you so much for giving me this opportunity to learn about matrix methods. This is helpful for my career and it is useful to all the beginners.