Regularized Logistic Regression

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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
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.

Rencontrer les enseignants

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