Challenges in Machine Generation of Analytic Products from Multi-Source Data
- National Academies of Sciences, Engineering, and Medicine
- Division on Engineering and Physical Sciences
- Intelligence Community Studies Board
Paperback & Hardcover deals ―
Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks Wagon₹4,667Book ChorGOCrosswordGODC BooksGOe-book & Audiobook deals ―
Amazon India GOGoogle Play Books ₹44.99Audible GO* Price may vary from time to time.
* GO = We're not able to fetch the price (please check manually visiting the website).
Know about the book -
Challenges in Machine Generation of Analytic Products from Multi-Source Data is written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. It's available with International Standard Book Number or ISBN identification 0309465761 (ISBN 10) and 9780309465762 (ISBN 13).
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 learning from small data, using multi-source data, adversarial learning, and understanding the human-machine relationship. This publication summarizes the presentations and discussions from the workshop.
