MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

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Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18Linear 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. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.edu