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portada Data identification model by domain symmetry
Type
Physical Book
Author
Publisher
Language
English
Pages
68
Format
Paperback
Dimensions
22.9 x 15.2 x 0.4 cm
Weight
0.11 kg.
ISBN13
9786206598350
Categories

Data identification model by domain symmetry

Anel Ramirez Alvarez (Author) · Our Knowledge Publishing · Paperback

Data identification model by domain symmetry - Ramirez Alvarez, Anel

New Book Imported to Netherlands
Delivery: 19 Aug - 21 Aug Shipping: 13 to 14 business days.
65,87 €
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65,87 €

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Synopsis "Data identification model by domain symmetry"

Data identification algorithms are useful models in areas of research and technological development where pattern recognition functions are required to classify data within a definition; the domain symmetry model is a highly efficient Machine Learning algorithm for data identification, capable of classifying images and sounds with a low amount of training data, besides being a model capable of extrapolating to the identification of other types of data thanks to its modeling stage where a contextualization on the nature of the data is applied for the training of the system.Throughout this book the automation of this model is developed and implemented; a model of accessible implementation, with a low computational cost, since it requires a very low amount of training data, fast, versatile in multiple applications and highly efficient.

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