Regularized Logistic Regression

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From the course by Stanford University
Machine Learning
56934 ratings
Stanford University

Machine Learning

56934 ratings
From the lesson
Regularization
Machine learning models need to generalize well to new examples that the model has not seen in practice. In this module, we introduce regularization, which helps prevent models from overfitting the training data.

Meet the Instructors

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