Mathematical Introduction to Data Science
Author
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-662-69426-8
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Book Chapters
The following chapters of this book are listed in IDEAS- Sven A. Wegner, 2024. "What Is Data (Science)?," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 1-6, Springer.
- Sven A. Wegner, 2024. "Affine Linear, Polynomial and Logistic Regression," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 7-34, Springer.
- Sven A. Wegner, 2024. "k-Nearest Neighbors," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 35-50, Springer.
- Sven A. Wegner, 2024. "Clustering," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 51-60, Springer.
- Sven A. Wegner, 2024. "Graph Clustering," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 61-79, Springer.
- Sven A. Wegner, 2024. "Best-Fit Subspaces," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 81-87, Springer.
- Sven A. Wegner, 2024. "Singular Value Decomposition," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 89-114, Springer.
- Sven A. Wegner, 2024. "Curse and Blessing of High Dimensionality," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 115-125, Springer.
- Sven A. Wegner, 2024. "Concentration of Measure," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 127-137, Springer.
- Sven A. Wegner, 2024. "Gaussian Random Vectors in High Dimensions," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 139-149, Springer.
- Sven A. Wegner, 2024. "Dimensionality Reduction à la Johnson-Lindenstrauss," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 151-157, Springer.
- Sven A. Wegner, 2024. "Separation and Fitting of High-Dimensional Gaussians," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 159-178, Springer.
- Sven A. Wegner, 2024. "Perceptron," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 179-188, Springer.
- Sven A. Wegner, 2024. "Support Vector Machines," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 189-208, Springer.
- Sven A. Wegner, 2024. "Kernel Method," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 209-224, Springer.
- Sven A. Wegner, 2024. "Neural Networks," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 225-260, Springer.
- Sven A. Wegner, 2024. "Gradient Descent for Convex Functions," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 261-280, Springer.
- Sven A. Wegner, 2024. "Selected Results of Probability Theory," Springer Books, in: Mathematical Introduction to Data Science, chapter 0, pages 281-288, Springer.
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