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MAS 4115

Linear Algebra for Data Science

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5Amazing Class
2Hard
4Interesting
4Useful

Professor Rating

5Amazing Prof

Prof: Johnathan Bush / Spring 2024

Feb 18, 2025

Comments on the course

Good balance between the practical application of linear algebra as well as gentle introduction to some of the theoretical concepts.

Course Content

Linear algebra topics selected for the application to data science. LU decomposition, PCA, SVD, and very little bit of Deep Learning / Neural Network. The content involves not just the arithmetics but also the understanding of the concepts and proofs.

Comments on the professor

Very caring and friendly professor.

Advice

For the students without the background of theoretical linear algebra (MAS 4105), which is myself, would struggle with the proof parts

Delivery: In personGrade: B+Workload: HeavyTextbook Use: Optional
Assignment HeavyExam Heavy

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