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Supervised Learning Cheatsheet for CS229 by helen lee is a document available to read on EtoBox.

What is Supervised Learning Cheatsheet for CS229 about?

The document discusses loss functions, cost functions, and gradient descent which are important concepts in machine learning. It provides a table listing common loss functions including least squared error, logistic loss, hinge loss, and cross-entropy. It defines the loss function as taking predicted and real values as input and outputting how different they are. It defines the cost function J as the average of the loss function L over the training set. Finally, it provides the update rule for gradient desc

Author

helen lee

Language

EN