MATH 279 - LINEAR ALGEBRA FOR DATA SCIENCE
- Recent Professors
- Not yet assigned
- Recent Semesters
- No scheduled sections on record
- Class Size
- Not published
- Difficulty
- 5.7Moderateout of 10
- Credits
- 4
- Prerequisite
- MATH229
- Transfers To
- CSUCSU GE Area B4
- Description
- This course introduces the fundamental concepts and principles of linear algebra and its applications in data science. Topics include vectors and matrices, systems of linear equations, determinants, eigenvalues and eigenvectors, linear transformations, least squares, singular value decomposition, and applications in machine learning. The course also includes hands-on exercises and projects using programming languages in Python and R. MANAGEMENT (MGMT)