Téléchargez le livre : Hybrid Imaging and Visualization

Hybrid Imaging and Visualization

Employing Machine Learning with Mathematica - Python de

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Springer


Paru le : 2025-05-05

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Description

This second edition of the book that targets those in computer algebra and artificial intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in machine learning where mostly, stochastic global methods are used as well as ChatGPT, a novel and in the last few years, very popular Generative AI technology. In addition, fisher discriminant, a linear discriminant that can provide an optimal separation of objects, and the conversion of time series into images thereby making it possible to employ convolution neural network to classify time series effectively are presented.
Pages
450 pages
Collection
n.c
Parution
2025-05-05
Marque
Springer
EAN papier
9783031728167
EAN PDF
9783031728174
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
45
Taille du fichier
67164 Ko
Prix
200,44 €

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