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Introduction
Machine learning: linear classification
Linear classification framework
An example linear classifier
Hypothesis class: which classifiers?
Loss function: how good is a classifier?
Score and margin
Zero-one loss rewritten
Optimization algorithm: how to compute best?
Digression: logistic regression
Gradient of the hinge loss
Hinge loss on training data
Gradient descent (hinge loss) in Python
Summary so far
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