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.
课程信息
提供方

明尼苏达大学
The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
授课大纲 - 您将从这门课程中学到什么
Matrices as Mathematical Objects
Matrix Multiplication and other Operations
Systems of Linear Equations
Linear Least Squares
审阅
- 5 stars55.86%
- 4 stars19.71%
- 3 stars9.38%
- 2 stars7.04%
- 1 star7.98%
来自MATRIX METHODS的热门评论
Really its very informative and basic material provided. I enjoyed and learn a lot
I have learn many ways to solve a lot of problems in Algebra, in easy mode. This Course is usepful and give some tools for your Mathlife.
Succinct, informative, efficient. Thank you, Dr. Boley.
Couresa is very helpful of learning skill about matrix .this is very helpful for me
常见问题
我什么时候能够访问课程视频和作业?
我购买证书后会得到什么?
有助学金吗?
还有其他问题吗?请访问 学生帮助中心。