02901nam 22006495 450 991100146750332120250506125951.03-031-72817-310.1007/978-3-031-72817-4(MiAaPQ)EBC32090631(Au-PeEL)EBL32090631(CKB)38737852200041(DE-He213)978-3-031-72817-4(EXLCZ)993873785220004120250506d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHybrid Imaging and Visualization Employing Machine Learning with Mathematica - Python /by Joseph Awange, Béla Paláncz, Lajos Völgyesi2nd ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (471 pages)3-031-72816-5 Includes bibliographical references.Chapter 1. Dimension Reduction -- Chapter 2. Classification -- Chapter 3. Clustering -- Chapter 4. Regression -- Chapter 5. Neural Networks -- Chapter 6. Optimizing Hyperparameters -- Chapter 7. ChatGPT.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.Geographic information systemsImage processingDigital techniquesComputer visionGeophysicsSolar systemGeographical Information SystemComputer Imaging, Vision, Pattern Recognition and GraphicsGeophysicsSpace PhysicsGeographic information systems.Image processingDigital techniques.Computer vision.Geophysics.Solar system.Geographical Information System.Computer Imaging, Vision, Pattern Recognition and Graphics.Geophysics.Space Physics.006.37Awange Joseph L.1969-1229364Paláncz Béla1944-Völgyesi LajosMiAaPQMiAaPQMiAaPQBOOK9911001467503321Hybrid Imaging and Visualization4384769UNINA