Gradient Descent for Multiple Variables

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From the course by Stanford University
Machine Learning
56663 ratings
Stanford University

Machine Learning

56663 ratings
From the lesson
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.

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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