Advanced AI and Data Science Applications
eBook - ePub

Advanced AI and Data Science Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Advanced AI and Data Science Applications

About this book

Advanced AI and Data Science Applications explores how the latest developments in artificial intelligence (AI) and data science are transforming diverse domains. The book blends theory and practice to serve as a roadmap to help readers understand how these cutting-edge technologies are revolutionizing practices across various fields. By providing a mix of theoretical insights and practical implementations, the book offers a holistic understanding of advanced AI and data science applications. Highlights of the book include:

  • Metaheuristic optimization techniques for solving complex AI model training challenges
  • The impact of AI and data science on urban development
  • Implementing AI for enhanced cybersecurity in industrial control systems
  • A comparative study of traditional and AI-based methods for English speech recognition
  • Temporal dependency modeling in real-time data streams using a deep learning model
  • Predictive analytics for financial fraud detection and risk management
  • Data science in manufacturing for cost reduction and efficiency
  • AI-driven agricultural analytics

Featuring such advanced modeling techniques as predictive modeling, simulation, and optimization algorithms, the book presents innovative solutions that emphasize benefits and practicality. With its emphasis on interdisciplinary applications, it showcases successful projects that underscore the synergy between AI and data science domains, empowering readers to harness the power of innovation for enhanced problem-solving and efficiency in interdisciplinary realms.

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Yes, you can access Advanced AI and Data Science Applications by D. Sivabalaselvamani,G Revathy,Ranjit Singh Sarban Singh,G. Revathy in PDF and/or ePUB format, as well as other popular books in Informatique & Ingénierie. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Auerbach Publications
Year
2025
eBook ISBN
9781040407066
Topic
Informatique
Subtopic
Ingénierie

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. List of Contributors
  9. Chapter 1 Metaheuristic Optimization Techniques for Solving Complex AI Model Training Challenges
  10. Chapter 2 AI and Data Science: Transforming IPL Strategy and Success
  11. Chapter 3 Augmenting Human Creativity: An Assessment of AI in Art and Music Generation
  12. Chapter 4 Building Tomorrow’s Cities: The Impact of AI and Data Science on Urban Development
  13. Chapter 5 Implementing AI for Enhanced Cybersecurity in Industrial Control Systems
  14. Chapter 6 A Comparative Study of Traditional and AI-Based Methods for English Speech Recognition
  15. Chapter 7 Smart Gene Editing: AI and DS to Improve CRISPR-Cas9 Outcomes in Disease Therapy
  16. Chapter 8 Polarizing Sentiments: A Comprehensive Analysis of Social Media Content Using Text Extraction and Sentiment Polarization
  17. Chapter 9 Deep Learning Approaches for Skin Disease Detection: A Comprehensive Review
  18. Chapter 10 Transforming Healthcare with Blockchain: A Review of Security, Efficiency, and Resource Allocation Strategies
  19. Chapter 11 Temporal Dependency Modeling in Real-Time Data Streams Using Deep Learning Model
  20. Chapter 12 Enhancing Bone Cancer Detection Using AI-Based Multi-Model Ensemble Deep Learning Techniques
  21. Chapter 13 Hand Sign and Gesture Recognition Using Deep Learning
  22. Chapter 14 Artificial Intelligence and Data Science: An Overview
  23. Chapter 15 Enhancing Rainfall Prediction: Optimizing XGBoost with Bayesian Hyperparameter Tuning (OPXGB)
  24. Chapter 16 AI in Finance: Predictive Analytics for Fraud Detection and Risk Management
  25. Chapter 17 Optimizing Supply Chains with AI: Data Science in Manufacturing for Cost Reduction and Efficiency
  26. Chapter 18 AI-Driven Agricultural Analytics: Enhancing Sustainability and Productivity through Data Science
  27. Chapter 19 Data Science in FinTech: Transforming Financial Services with Machine Learning and AI
  28. Chapter 20 Balancing AI Security and Access: Ethical Considerations in Deploying AI Models
  29. Index