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学生对 明尼苏达大学 提供的 Matrix Methods 的评价和反馈

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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....

1 - Matrix Methods 的 1 个评论(共 1 个)

创建者 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.