
Relationship among linear algebra, probability and statistics, optimization, and deep learning. Courtesy of Jonathan Harmon. Used with permission.
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.
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As Taught In: | Spring 2018 |
Level: | Undergraduate |
Course Features
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AV lectures - Video
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Assignments - problem sets (no solutions)
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AV special element audio - Podcast