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

Joseph Awange, Béla Paláncz, Lajos Völgyesi

Research output: Authored / edited bookResearch book or monograph (as author)Academic researchpeer-review

Abstract

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.
Original languageEnglish
Place of PublicationSpringer Cham
Number of pages450
Edition2
ISBN (Electronic)978-3-031-72819-8
DOIs
Publication statusPublished - 2025

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