Gradient Descent for Multiple Variables

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Del curso dictado por Stanford University
Machine Learning
73484 ratings
Stanford University
73484 ratings
De la lección
Linear Regression with Multiple Variables
What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

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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