Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance
WEBB WILLIAMS, NORA (UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN),CASAS, ANDREU (VRIJE UNIVERSITEIT, AMSTERDAM),WILKERSON, JOHN D. (UNIVERSITY OF WASHINGTON)
Images as Data for Social Science Research
Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance
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9781108816854Mladinska knjiga ID
9781108816854Leto izida
2020Datum izida
13.08.2020Število strani
75Status dobavljivosti
7-10 delovnih dniZbirka
Elements in Quantitative and Computational Methods for the Social SciencesZaložnik
Cambridge University PressAvtor
Webb Williams, Nora (University of Illinois, Urbana-Champaign),Casas, Andreu (Vrije Universiteit, Amsterdam),Wilkerson, John D. (University of Washington)Dimenzije
152 x 228 x 8BIC
GPS,JHBC,JP,UNC,UNFOpis
Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.Pogosto kupljeno skupaj
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