National Academies Press
Challenges in Machine Generation of Analytic Products from Multi-Source Data (English, National Academies of Sciences Engineeri | Division on Engineering, Physical Sci | Intelligence Community Studies Board)
by National Academies of Sciences Engineeri | Division on Engineering, Physical Sci | Intelligence Community Studies Board
Publisher: National Academies Press
Language: English
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Specifications
| Publisher | National Academies Press |
| Language | English |
| ISBN-13 | 9780309465731 |
| ISBN-10 | 0309465737 |
| Author | National Academies of Sciences Engineeri | Division on Engineering, Physical Sci | Intelligence Community Studies Board |
Product Description
About the Book
The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine convened a workshop on August 9-10, 2017 to examine challenges in machine generation of analytic products from multi-source data. Workshop speakers and participants discussed research challenges related to machine-based methods for generating analytic products and for automating the evaluation of these products, with special attention to lear…
ISBN: 9780309465731
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Challenges in Machine Generation of Analytic Products from Multi-Source Data
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in National Academies Press
Who Should Read This
Students and professionals interested in National Academies Press, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Challenges in Machine Generation of Analytic Products from Multi-Source Data is authored by National Academies of Sciences Engineeri | Division on Engineering, Physical Sci | Intelligence Community Studies Board.
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About the Book
The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine convened a workshop on August 9-10, 2017 to examine challenges in machine generation of analytic products from multi-source data. Workshop speakers and participants discussed re...
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