Mathematical Foundations of Data Science [E-Book] / by Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh.
Although it is widely recognized that analyzing large volumes of data by intelligent methods may provide highly valuable insights, the practical success of data science has led to the development of a sometimes confusing variety of methods, approaches and views. This practical textbook aims to point...
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Full text |
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Personal Name(s): | Hrycej, Tomas, author |
Bermeitinger, Bernhard, author / Cetto, Matthias, author / Handschuh, Siegfried, author | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
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Physical Description: |
XIII, 213 pages 108 illustrations, 98 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031190742 |
DOI: |
10.1007/978-3-031-19074-2 |
Series Title: |
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Texts in Computer Science
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Subject (LOC): |
- 1. Data Science and its Tasks
- 2. Application Specific Mappings and Measuring the Fit to Data
- 3. Data Processing by Neural Networks
- 4. Learning and Generalization
- 5. Numerical Algorithms for Network Learning
- 6. Specific Problems of Natural Language Processing
- 7. Specific Problems of Computer Vision.