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Lecture
Assumption of Machine Learning
Description
This lecture delves into the philosophy of machine learning, where reasoning about the entire population is based on a limited number of data samples. It emphasizes the importance of smoothness assumptions in learning and the necessity for the training set to be representative of the population being learned from.
Official source
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