Hybrid imaging and visualization: Employing machine learning with Mathematica - Python
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Faculty of Science and Engineering
School of Earth and Planetary Sciences (EPS)
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.