Buchumschlag

Data Science and Cases in Sustainability Pattern Recognition and Machine Learning /

This book discusses the fascinating world of data science and cases in sustainability focusing on topics related to pattern recognition and machine learning, emphasizing applications that directly address topics related to SDG 9 (Industry, Innovation and Infrastructure). Recognizing the sustainable...

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Bibliographische Detailangaben
1. Verfasser: Ghosh, Ashish (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schriftenreihe:Mathematics for Sustainable Developments,
Schlagworte:
Artificial intelligence > Data processing.
Quantitative research.
Machine learning.
Image processing > Digital techniques.
Computer vision.
Data Science.
Data Analysis and Big Data.
Machine Learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online-Zugang:https://doi.org/10.1007/978-981-96-8362-8
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Inhaltsangabe:
  • Chapter 1. Evolution of Data Science
  • Chapter 2. LearningDimensionality Reduction
  • Chapter 3. Types of Data
  • Chapter 4. Pre-processing of Data
  • Chapter 5. Dimensionality Reduction
  • Chapter 6. Pattern Recognition System
  • Chapter 7. Classification
  • Chapter 8. Classifiers
  • Chapter9. Combination of Classifiers
  • Chapter10. Clustering
  • Chapter 11. Clustering Algorithms
  • Chapter 12. Outliers
  • Chapter 13. Fuzzy Set Theoretic Approach to Pattern Recognition
  • Chapter 14. Rule of Thumb
  • Chapter 15. Artificial Neural Networks
  • Chapter 16. Multilayer Perceptron
  • Chapter 17. Evolutionary Computing for Machine Learning
  • Chapter 18. Support Vector Machine
  • Chapter 19. Kernel Machines
  • Chapter 20. Extreme Learning Machines
  • Chapter 21. Deep Learning.

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