PROBING THE PAST WITH DATA ANALYTICS AND AI

This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in artificial intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning.

The useful reference text benefits professionals, academics, researchers, and graduate students in AI/machine learning, neural networks, and bioinformatics, and digital humanities.

Contents:

• Foreword
• About the Author
• Classification Methods:
  • Classification Methods for Machine Leaning and Artificial Intelligence (AI)
  • Classification with Convolutional Neural Networks
• Natural Language Processing and Large Language Models:
  • Natural Language Processing with Neural Networks
• Phylogenetic Methods:
  • Phylogenetic Trees, Reconstruction, and Validation Methods
  • Applications of Phylogenetic Networks
• Bayesian Methods in Artificial Intelligence:
  • Bayesian Approaches
• High in the Sky and Down to Earth: Applications of Data Analytics:
  • Phylogenetics in Astrophysics
  • Data Analytics for Tracing Methods of Ancient Astronomy
  • Why Folktales Have 'Node' Limits
• Index

Readership: Researchers, professionals, academics and graduate students in AI/ML, neural networks, bioinformatics and digital humanities.