Course Description

Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
Learning Resource Types
theaters Lecture Videos
assignment Problem Sets
co_present Instructor Insights
Four boxes with text and four arrows to illustrate the math relationship among linear algebra, probability and statistics, optimization, and deep learning.
Relationship among linear algebra, probability and statistics, optimization, and deep learning. Courtesy of Jonathan Harmon. Used with permission.