Regularization in Machine Learning

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Presentation transcript:

Regularization in Machine Learning Tyrone Rees SCD Computational Mathematics

What is overfitting? https://medium.com/greyatom/what-is-underfitting-and-overfitting-in-machine-learning-and-how-to-deal-with-it-6803a989c76

What is overfitting? https://medium.com/greyatom/what-is-underfitting-and-overfitting-in-machine-learning-and-how-to-deal-with-it-6803a989c76

What is overfitting? https://medium.com/greyatom/what-is-underfitting-and-overfitting-in-machine-learning-and-how-to-deal-with-it-6803a989c76

How can we detect overfitting?

Test and trial sets All data Training set Test set https://gerardnico.com/data_mining/overfitting

https://hackernoon.com/memorizing-is-not-learning-6-tricks-to-prevent-overfitting-in-machine-learning-820b091dc42

How can we avoid overfitting? https://www.amazon.com/Munch-Gifts-Machine-Learning-Overfitted/dp/B07G6YJ8QH

Regularization “Regularization is any modification we make to a learning algorithm that is intended to reduce its generalization error but not its training error.” Ian Goodfellow (Google)