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What is Gradient Descent and Logistic Regression about?

This document is a note from CS 188 Introduction to Artificial Intelligence that covers optimization using gradient descent algorithms. It discusses how gradient descent can be used to find optimal weights when a closed form solution does not exist. It describes gradient ascent for maximizing functions and gradient descent for minimizing loss functions. It also discusses variants like stochastic gradient descent. Finally, it provides an example of using gradient descent for linear regression to solve for op

Author

Ali Rahimi

Language

EN