Cost Function - Intuition II

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En provenance du cours de Stanford University
Machine Learning
79561 notes
Stanford University
79561 notes
À partir de la leçon
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.

Rencontrer les enseignants

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

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