• Title: Computational Engineering of Historical Memories
• Author(s) Andrea Nanetti
• Publisher: Routledge; 1st edition (September 26, 2022); eBook (Creative Commons Licensed)
• License(s): CC BY 4.0
• Hardcover: 186 pages
• eBook: PDF and Read Online
• Language: English
• ISBN-10/ASIN: 1032316802
• ISBN-13: 978-1032316802
• Share This:  

Book Description

This book outlines a methodology for deploying Artificial Intelligence and Machine Learning to enhance historical research. It presents the theory behind this methodology from a humanities perspective and discusses its practical application in user interface and experience.

An essential read for historians and scholars working in the Digital Dumanities (DH).

• Dr. Andrea Nanetti is an award-winning and internationally recognised expert in Digital Humanities.

• Amazon

• Artificial Intelligence (AI)
• Machine Learning
• Miscellaneous and Uncategorized Books

• Computational Engineering of Historical Memories (Andrea Nanetti)
• The Mirror Site (1) - PDF

• Robots and AI (Lili Yan Ing, et al)

  The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises.

• Making AI Intelligible (Herman Cappelen, et al.)

  Can humans and artificial intelligences share concepts and communicate? The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications.

• How Humans Judge Machines (Cesar A. Hidalgo, et al)

  A detailed examination of people's reactions to machine actions as compared to human actions. Through dozens of experiments, this book explores when and why people judge humans and machines differently.

• The Amazing Journey of Reason: from DNA to Artificial Intelligence

  This book analyses the evolution of complex structures (Organisms, or organized, living, systems) in the universe - from the subatomic particles after the Big Bang onwards - in order to understand the emergence of today's interconnected society.

• AI Art: Machine Visions and Warped Dreams (Joanna Zylinska)

  The book critically examines artworks that use AI, be it in the form of visual style transfer, algorithmic experiment or critical commentary. It also engages with their predecessors, including robotic art and net art.

• Theory and Novel Applications of Machine Learning (Meng Joo Er)

  This books reports the latest developments and futuristic trends in Machine Learning. It involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc.