ISBN: 9781461430841 - criminal justice forecasts of risk: a machine learning approach (springerbriefs in computer science) (5 Ergebnisse)

Zustand: New. *Price HAS BEEN REDUCED by 10% until Monday, Oct. 26 (weekend SALE item) 124 pp., paperback, new, THIS IS THE 2018 EDITION. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

Zustand: New. In English.

Paperback. Zustand: Brand New. 2012 edition. 124 pages. 9.00x6.00x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of 'future dangerousness' to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, 'risk assessments' of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are considered with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies.…

Taschenbuch. Zustand: Neu. Criminal Justice Forecasts of Risk | A Machine Learning Approach | Richard Berk | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9781461430841 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …