Gradient Descent For Linear Regression

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From the course by Stanford University
Machine Learning
78155 ratings
Stanford University
78155 ratings
From the lesson
Linear Regression with One Variable
Linear regression predicts a real-valued output based on an input value. We discuss the application of linear regression to housing price prediction, present the notion of a cost function, and introduce the gradient descent method for learning.

Meet the Instructors

  • Andrew Ng
    Andrew Ng
    Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

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