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Mathematical Foundations of Data Science

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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Bibliografiske detaljer
Main Authors: Hrycej, Tomas (Author), Bermeitinger, Bernhard (Author), Cetto, Matthias (Author), Handschuh, Siegfried (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer International Publishing : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Serier:Texts in Computer Science,
Fag:
Artificial intelligence > Data processing.
Computer science > Mathematics.
Discrete mathematics.
Computer arithmetic and logic units.
Data Science.
Discrete Mathematics in Computer Science.
Mathematical Applications in Computer Science.
Arithmetic and Logic Structures.
Online adgang:https://doi.org/10.1007/978-3-031-19074-2
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Indholdsfortegnelse:
  • 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.

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