An advanced linear algebra course focused on the theoretical foundations and applications of linear algebra for machine learning. Upon completion of this course, students will be provided a strong foundation of theoretical linear algebra and linear analysis topics essential for the development of core machine learning and data mining concepts. In addition, various real-life applications of linear algebra for data analytics will be demonstrated.
Successful completion of Undergraduate level coursework in Linear Algebra.
Successful completion of the Advanced Linear Algebra for Machine Learning pretest exam with a passing grade, or, successful completion of online Coursera course as outlined and recommended by MSCA program.
MSCA & MSAP Students Only.