Hybrid Imaging and Visualization
Employing Machine Learning with Mathematica - Python
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77 157 Ft (73 483 Ft + 5% VAT)
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77 157 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2020
- Publisher Springer
- Date of Publication 16 December 2020
- Number of Volumes 1 pieces, Book
- ISBN 9783030261559
- Binding Paperback
- No. of pages406 pages
- Size 235x155 mm
- Weight 646 g
- Language English
- Illustrations 65 Illustrations, black & white; 456 Illustrations, color 163
Categories
Short 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.
MoreLong 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.
MoreTable of Contents:
Dimension reduction.- Classification.- Clustering.- Regression.- Neural Networks.
More
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
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