U. S. Air Force Enlisted Classification and Reclassification Potential Improvements Using Machine Learning and Optimization Models |
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| Author:
| Robson, Sean
Lytell, Maria C.
Walsh, Matthew
Hall, Kimberly Curry
Keller, Kirsten M.
Kilambi, Vikram
Snoke, Joshua
Welburn, Jonathan W.
Roberts, Patrick S.
Hall, Owen
Mariano, Louis T. |
| ISBN: | 978-1-9774-0702-3 |
| Publication Date: | May 2022 |
| Publisher: | RAND Corporation, The
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| Book Format: | Paperback |
| List Price: | USD $40.00 |
Book Description:
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The authors review options for improving processes for classifying and reclassifying enlisted active-duty, non?prior service airmen for initial skills training in the United States Air Force.
The authors review options for improving processes for classifying and reclassifying enlisted active-duty, non?prior service airmen for initial skills training in the United States Air Force.