Tracked shipping to South Africa with premium packaging for just R199 

Ship to
South Africa
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Machine Learning for Criminology and Crime Research (Routledge Advances in Criminology)
Type
Physical Book
Publisher
Author
Year
2024
Language
English
Pages
194
Format
Paperback
ISBN13
9781032109282
Edition No.
1

Machine Learning for Criminology and Crime Research (Routledge Advances in Criminology)

Gian Maria Campedelli (Author) · Routledge · Paperback

Machine Learning for Criminology and Crime Research (Routledge Advances in Criminology) - Gian Maria Campedelli

Cheaper New Book Imported to South Africa
Delivery: 26 Aug - 04 Sep Shipping: 13 to 14 business days.
R 1,209
Faster New Book Imported to South Africa
Delivery: 13 Aug - 21 Aug Shipping: 4 to 5 business days.
R 1,396
R 1,209

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Machine Learning for Criminology and Crime Research (Routledge Advances in Criminology)"

Machine Learning for Criminology and Crime Research: At the Crossroads reviews the roots of the intersection between machine learning, artificial intelligence (AI), and research on crime; examines the current state of the art in this area of scholarly inquiry; and discusses future perspectives that may emerge from this relationship.As machine learning and AI approaches become increasingly pervasive, it is critical for criminology and crime research to reflect on the ways in which these paradigms could reshape the study of crime. In response, this book seeks to stimulate this discussion. The opening part is framed through a historical lens, with the first chapter dedicated to the origins of the relationship between AI and research on crime, refuting the "novelty narrative" that often surrounds this debate. The second presents a compact overview of the history of AI, further providing a nontechnical primer on machine learning. The following chapter reviews some of the most important trends in computational criminology and quantitatively characterizing publication patterns at the intersection of AI and criminology, through a network science approach. This book also looks to the future, proposing two goals and four pathways to increase the positive societal impact of algorithmic systems in research on crime. The sixth chapter provides a survey of the methods emerging from the integration of machine learning and causal inference, showcasing their promise for answering a range of critical questions. With its transdisciplinary approach, Machine Learning for Criminology and Crime Research is important reading for scholars and students in criminology, criminal justice, sociology, and economics, as well as AI, data sciences and statistics, and computer science.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews