Chevron Left
Matrix Methods(으)로 돌아가기

미네소타 대학교의 Matrix Methods 학습자 리뷰 및 피드백

4.2
stars
13개의 평가
2개의 리뷰

강좌 소개

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....
필터링 기준:

Matrix Methods의 2개 리뷰 중 1~2

교육 기관: Denis B

Nov 18, 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.

교육 기관: Paul O

Jan 12, 2020

I subscribe to Coursera so I can take as many courses as I like for a monthly fee. There are a lot of excellent courses on Coursera but this isn't one of them. I would be really angry if I had paid specifically for this course. There are issues with the practice quizzes that were pointed out in the discussion forum months ago for which there is still no reply. Staff should at least glance at the forum to see if there are any problems with the course material. The lectures cover the simple ideas, but the harder material is outsourced mostly to http://mathonline.wikidot.com/ and sundry pdf documents. Some of the reading material is a lot more advanced than the course itself.