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Category Archives: Regularization and Cross Validation

Machine Learning: Non-linear Regression, Regularization & Cross Validation Simplified (Part 1)

· Roopam Upadhyay · Leave a comment

In this 3-part series of articles, you will gain an intuitive understanding of some fundamental concepts in machine learning such as: Building blocks of curves Non-linear regression Curve fitting and overfitting Regularization to prevent overfitting Hyper-parameters in machine learning Cross-validation to fine-tune models You will also get hands-on practice to understand these concepts better. For this

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Posted in Machine Learning and Artificial Intelligence, Regularization and Cross Validation |

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