Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Fine.
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Very Good.
paperback. Condizione: Very Good.
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Very Good.
Condizione: good. Paperback Book.
Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Condizione: New.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 44,13
Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,30
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 44,12
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 50,82
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 70 pages. 11.00x8.50x11.00 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 47,88
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 66,16
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: moluna, Greven, Germania
EUR 49,80
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: National Academies Press, US, 2017
ISBN 10: 0309465737 ISBN 13: 9780309465731
Da: Rarewaves.com UK, London, Regno Unito
EUR 45,92
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.