Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- 4 Regression and Model Selection
- 5 Clustering and Classification
- 6 Neural Networks and Deep Learning
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
This chapter is part of a book that is no longer available to purchase from Cambridge Core
4 - Regression and Model Selection
from Part II - Machine Learning and Data Analysis
Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- 4 Regression and Model Selection
- 5 Clustering and Classification
- 6 Neural Networks and Deep Learning
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
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- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 117 - 153Publisher: Cambridge University PressPrint publication year: 2019
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