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portada Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine
Type
Physical Book
Author
Publisher
Language
Inglés
Pages
88
Format
Paperback
Dimensions
22.9 x 15.2 x 0.5 cm
Weight
0.13 kg.
ISBN13
9781977412102
Categories

Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine

Daniel Egel (Author) · Eric Robinson (Author) · George Bailey (Author) · RAND Corporation · Paperback

Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine - Robinson, Eric ; Egel, Daniel ; Bailey, George

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Origin: U.S.A. (Import costs included in the price)
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Synopsis "Machine Learning for Operational Decisionmaking in Competition and Conflict: A Demonstration Using the Conflict in Eastern Ukraine"

Advances in machine learning have the potential to dramatically change the character of warfare by enhancing the speed, precision, and efficacy of decisionmaking across the national security enterprise. This report explores how machine learning can be leveraged to enable military decisionmaking as a collaboration between machine learning tools and human analysts.

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