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Este libro presenta la importancia de la información y la manera de utilizarla para el proceso de ciencia de datos, para luego introducir los fundamentos teóricos de ambas disciplinas y presentar su aplicación en ocho...

Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn th...

Subjects / keywords: Discriminator; Generator (circuit theory); Generative grammar; Adversarial system; Set (abstract data type); Computer science; Artificial intelligence; Artificial neural network; Order (exchange); Machine learning; Econo...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

Subjects / keywords: Discriminative model; Computer science; Artificial intelligence; Domain (mathematical analysis); Backpropagation; Artificial neural network; Context (archaeology); Test data; Transfer of learning; Identification (biology...