Course Introduction of 18.065 by Professor Strang

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Instructor: Gilbert Strang
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Professor Strang describes the four topics of the course: Linear Algebra, Deep Learning, Optimization, and Statistics. He provides examples of how Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. The course parallels the content of his book Linear Algebra and Learning from Data published in 2019.

License: Creative Commons BY-NC-SA
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linear algebra,deep learning,optimization,Statistics,machine learning,algorithms,neural networks,