Multiple Features

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En provenance du cours de Université de Stanford
Machine Learning
70626 notes
Université de Stanford
70626 notes
À partir de la leçon
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.

Rencontrer les enseignants

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