Sparse Estimation with Math and R 100 Exercises for Building Logic
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs. Each chapter introduces the notion of...
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| Format: | eBook |
| Language: | English |
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Singapore
Springer Nature Singapore
2021, 2021
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| Edition: | 1st ed. 2021 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1: Linear Regression
- Chapter 2: Generalized Linear Regression
- Chapter 3: Group Lasso
- Chapter 4: Fused Lasso
- Chapter 5: Graphical Model
- Chapter 6: Matrix Decomposition
- Chapter 7: Multivariate Analysis