[PDF.76ii] Criminal Justice Forecasts of Risk: A Machine Learning Approach (SpringerBriefs in Computer Science)

Criminal Justice Forecasts of Risk: A Machine Learning Approach (SpringerBriefs in Computer Science)

[PDF.jg39] Criminal Justice Forecasts of Risk: A Machine Learning Approach (SpringerBriefs in Computer Science)

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 | #2928280 in Books |  Springer New York |  2012-04-04 | Original language:English | PDF # 1 |  9.25 x.31 x6.10l,.40 | File type: PDF | 115 pages

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||0 of 2 people found the following review helpful.| Dissapointed|By Vijay Ram Mukhi|I bought the book thinking that i could actually use R to build machine learning models. No sample data, no R code only theory.| ||From the reviews:|“Predicting ‘future dangerousness’ has been a hot topic in psychology, sociology, and criminal justice for many years. … The current state of machine learning statistical procedures utilizing very large datasets is p

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 cur...

You easily download any file type for your device.Criminal Justice Forecasts of Risk: A Machine Learning Approach (SpringerBriefs in Computer Science)   |  Richard Berk. Which are the reasons I like to read books. Great story by a great author.

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