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Hybrid imaging and visualizationempl...
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Awange, Joseph.
Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hybrid imaging and visualizationby Joseph Awange, Bela Palancz, Lajos Volgyesi.
Reminder of title:
employing machine learning with Mathematica - Python /
Author:
Awange, Joseph.
other author:
Palancz, Bela.
Published:
Cham :Springer International Publishing :2020.
Description:
xvii, 406 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computer vision.
Online resource:
https://doi.org/10.1007/978-3-030-26153-5
ISBN:
9783030261535$q(electronic bk.)
Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /
Awange, Joseph.
Hybrid imaging and visualization
employing machine learning with Mathematica - Python /[electronic resource] :by Joseph Awange, Bela Palancz, Lajos Volgyesi. - Cham :Springer International Publishing :2020. - xvii, 406 p. :ill., digital ;24 cm.
Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.
The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.
ISBN: 9783030261535$q(electronic bk.)
Standard No.: 10.1007/978-3-030-26153-5doiSubjects--Topical Terms:
200113
Computer vision.
LC Class. No.: TA1634
Dewey Class. No.: 006.37
Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /
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employing machine learning with Mathematica - Python /
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by Joseph Awange, Bela Palancz, Lajos Volgyesi.
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Dimension reduction -- Classification -- Clustering -- Regression -- Neural Networks.
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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.
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電子館藏
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1
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000000180306
電子館藏
1圖書
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EB TA1634 .A964 2020 2020
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1 records • Pages 1 •
1
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https://doi.org/10.1007/978-3-030-26153-5
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