Research Article
The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345298, author={Yichen Ma and Xinyue Li and Botao Cai}, title={The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={linear regression gradient descent norm mean squared error}, doi={10.4108/eai.15-12-2023.2345298} }- Yichen Ma
Xinyue Li
Botao Cai
Year: 2024
The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345298
Abstract
This article mainly discusses the methods of predicting specific datasets using linear regression with regularization and linear regression with gradient descent. Firstly, the basic principles and mathematical models of these two methods are introduced in detail. Then, through case studies, the authors demonstrate how to apply these two methods for prediction in real-world problems. Finally, the article discusses the advantages and disadvantages of these two methods and how to choose the appropriate method in practical applications.
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