Practical Machine Learning with R
portes grátis
Practical Machine Learning with R
Tutorials and Case Studies
Lange, Carsten
Taylor & Francis Ltd
05/2024
352
Dura
Inglês
9781032434056
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Introduction 2. Basics of Machine Learning 3. Introduction to R and RStudio 4. k-Nearest Neighbors - Getting Started 5. Linear Regression - Key Machine Learning Concepts 6. Polynomial Regression - Overfitting & Tuning Explained 7. Ridge, Lasso, and Elastic Net - Regularization Explained 8. Logistic Regression - Handling Imbalanced Data 9. Deep Learning - MLP Neural Networks Explained 10. Tree-Based Models - Bootstrapping Explained 11. Interpreting Machine Learning Results 12. Concluding Remarks Index Bibliography
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Linear Regression;Polynomial Regression;Logistic Regression;Tree-Based Models;Machine Learning
1. Introduction 2. Basics of Machine Learning 3. Introduction to R and RStudio 4. k-Nearest Neighbors - Getting Started 5. Linear Regression - Key Machine Learning Concepts 6. Polynomial Regression - Overfitting & Tuning Explained 7. Ridge, Lasso, and Elastic Net - Regularization Explained 8. Logistic Regression - Handling Imbalanced Data 9. Deep Learning - MLP Neural Networks Explained 10. Tree-Based Models - Bootstrapping Explained 11. Interpreting Machine Learning Results 12. Concluding Remarks Index Bibliography
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
