Machine Learning Risk Assessments in Criminal Justice Settings is popular PDF and ePub book, written by Richard Berk in 2019, it is a fantastic choice for those who relish reading online the Machine learning genre. Let's immerse ourselves in this engaging Machine learning book by exploring the summary and details provided below. Remember, Machine Learning Risk Assessments in Criminal Justice Settings can be Read Online from any device for your convenience.
Machine Learning Risk Assessments in Criminal Justice Settings Book PDF Summary
This book puts in one place and in accessible form Richard Berk's most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of forecasting errors as the forecasts are constructed, and an emphasis on maximizing forecasting accuracy, the author shows how his decades of research on the topic improves forecasts of risk. Criminal justice risk forecasts anticipate the future behavior of specified individuals, rather than "predictive policing" for locations in time and space, which is a very different enterprise that uses different data different data analysis tools. The audience for this book includes graduate students and researchers in the social sciences, and data analysts in criminal justice agencies. Formal mathematics is used only as necessary or in concert with more intuitive explanations.
Detail Book of Machine Learning Risk Assessments in Criminal Justice Settings PDF
- Author : Richard Berk
- Release : 03 July 2024
- Publisher : Unknown
- ISBN : 3030022730
- Genre : Machine learning
- Total Page : 178 pages
- Language : English
- PDF File Size : 17,7 Mb
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