Hybrid imaging and visualization : employing machine learning with Mathematica-Python
Author(s)
Bibliographic Information
Hybrid imaging and visualization : employing machine learning with Mathematica-Python
Springer Nature Switzerland, c2020
Available at / 2 libraries
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Etchujima library, Tokyo University of Marine Science and Technology工流通情報システム
007.1/A97201951124
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Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
Dimension reduction.- Classification.- Clustering.- Regression.- Neural Networks.
by "Nielsen BookData"
