MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Instructor: Suvrit Sra
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Professor Suvrit Sra gives this guest lecture on stochastic gradient descent (SGD), which randomly selects a minibatch of data at each step. The SGD is still the primary method for training largescale machine learning systems.

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