MAS 4115
Linear Algebra for Data Science
Filter Reviews
Overall0
Easiness0
Interest0
Usefulness0
Reviews 1
1
Class Ratings
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
Assignment HeavyExam Heavy
Leave a Review