Gradient Descent for Multiple Variables

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来自 Stanford University 的课程
机器学习
78147 个评分
Stanford University
78147 个评分
从本节课中
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.

与讲师见面

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

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