Gradient Descent For Linear Regression

Del curso dictado por Universidad de Stanford
Machine Learning
73254 ratings
Universidad de Stanford
73254 ratings
De la lección
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.

Conoce a los instructores

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

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