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Matrix Methods In Data Analysis, Signal Processing, And Machine Learning

Description

Linear algebra ideas are key for understanding and creating machine studying algorithms, particularly as utilized to deep studying and neural networks. This course opinions linear algebra with functions to likelihood and statistics and optimization–and above all a full rationalization of deep studying.


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