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Leveraging Machine Learning for Operation Assessment

By: (Author) Daniel Egel , (Author) Jasmin Leveille , (Author) Linda Robinson , (Author) Luke J Matthews , (Author) Mary Kate Adgie , (Author) Ryan Andrew Brown

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Ksh 3,050.00

Format: Paperback or Softback

ISBN-10: 197740443X

ISBN-13: 9781977404435

Publisher: RAND

Imprint: RAND

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 1st, 2001

Print length: 96 Pages

Product Classification: Research methods: general
Terrorism, armed struggle
Science: general issues
Artificial intelligence

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This report shows how machine learning (ML) can support assessment of military operations by describing and illustrating the use of ML in systematically extracting assessment-relevant insights from intelligence, operational, and media reporting.
This report demonstrates how machine learning (ML) can support assessment of military operations by describing and illustrating the use of ML in systematically extracting assessment-relevant insights from intelligence, operational, and media reporting. This approach can provide the commander with near-real-time insights from these data, often the best source of information on the efficacy of operations, that are objective and statistically relevant.

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