Data Science in Applications
This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be de...
| Other Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
|
| Edition: | 1st ed. 2023 |
| Series: | Studies in Computational Intelligence
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Computational Thinking Design Application for STEAM Education
- Education Data for Science: Case of Lithuania
- Imbalanced Data Classification Approach Based on Clustered Training Set
- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels
- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach
- Bootstrapping Network Autoregressive Models for Testing Linearity
- Novel data science methodologies for essential genes identification based on network analysis
- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities
- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS)
- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model
- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems