MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
MIT OpenCourseWare
EducationScience
Clips are not offered for this film yet: it is in several files, and clips are cut from a film in one.
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About
Instructor: Gilbert Strang
View the complete course: https://ocw.mit.edu/18-065S18
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k
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.
Note: Videos of Lectures 28 and 29 are not available because those were in-class lab sessions that were not recorded.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
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- English
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