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Hybrid Imaging and Visualization = Employing Machine Learning with Mathematica - Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hybrid Imaging and Visualization/ by Joseph Awange, Béla Paláncz, Lajos Völgyesi.
Reminder of title:	Employing Machine Learning with Mathematica - Python /
Author:	Awange, Joseph.
other author:	Paláncz, Béla.
Description:	XVII, 406 p. 521 illus., 456 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Remote sensing. -
Online resource:	https://doi.org/10.1007/978-3-030-26153-5
ISBN:	9783030261535

Hybrid Imaging and Visualization = Employing Machine Learning with Mathematica - Python /
Awange, Joseph.

Hybrid Imaging and VisualizationEmploying Machine Learning with Mathematica - Python /[electronic resource] :by Joseph Awange, Béla Paláncz, Lajos Völgyesi. - 1st ed. 2020. - XVII, 406 p. 521 illus., 456 illus. in color.online resource.

Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.

ISBN: 9783030261535

Standard No.: 10.1007/978-3-030-26153-5doiSubjects--Topical Terms:

557272
Remote sensing.

LC Class. No.: GA102.4.R44

Dewey Class. No.: 910.285

Hybrid Imaging and Visualization = Employing Machine Learning with Mathematica - Python /
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