Carsten Lange

Practical Machine Learning with R (eBook, ePUB)

Tutorials and Case Studies

• Format: ePub

Produktbeschreibung

This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics. It takes a hands-on approach to teach machine learning, emphasizing practical applications over complex mathematical concepts.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 368
• Erscheinungstermin: 20. Mai 2024
• Englisch
• ISBN-13: 9781040021286
• Artikelnr.: 70545705

Autorenporträt

Carsten Lange is an economics professor at Cal Poly Pomona with a keen interest in making data science and machine learning more accessible. He has authored multiple refereed articles and four books, including his 2004 book on applying neural networks for economics. Carsten is passionate about teaching machine learning and artificial intelligence with a focus on practical applications and hands-on learning.

Inhaltsangabe

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