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portada Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
Type
Physical Book
Year
2026
Language
English
Pages
450
Format
Paperback
Dimensions
23.5 x 15.5 cm
ISBN13
9783031728198

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Joseph Awange (Author) · Springer Nature Switzerland · Paperback

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python - Joseph Awange

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Synopsis "Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python"

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.

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