U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models
Author:   Sean Robson ,  Maria C Lytell ,  Matthew Walsh ,  Kimberly Curry Hall
Publisher:   RAND Corporation
ISBN:  

9781977407023


Pages:   142
Publication Date:   30 May 2022
Format:   Paperback
Availability:   In stock   Availability explained
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U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models


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Overview

Although most airmen successfully complete initial skills training, about 10 percent are eliminated and either separated from the United States Air Force or reclassified into other specialties. Given recent increases in reclassification, the authors set out to identify factors that affect initial skills training success and determine how classification and reclassification processes can be improved.

Full Product Details

Author:   Sean Robson ,  Maria C Lytell ,  Matthew Walsh ,  Kimberly Curry Hall
Publisher:   RAND Corporation
Imprint:   RAND Corporation
Dimensions:   Width: 21.60cm , Height: 0.80cm , Length: 27.90cm
Weight:   0.349kg
ISBN:  

9781977407023


ISBN 10:   1977407021
Pages:   142
Publication Date:   30 May 2022
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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