### 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

**18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018, MIT OCW)**. Instructor: Prof. Gilbert Strang. 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.
(from **ocw.mit.edu**)

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18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine LearningInstructor: Prof. Gilbert Strang. Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. |