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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Computational Intelligence for Machine Learning and Healthcare Informatics (Hardcover) Loot Price: R4,406
Discovery Miles 44 060
Computational Intelligence for Machine Learning and Healthcare Informatics (Hardcover): Rajshree Srivastava, Pradeep Kumar...

Computational Intelligence for Machine Learning and Healthcare Informatics (Hardcover)

Rajshree Srivastava, Pradeep Kumar Mallick, Siddharth Swarup Rautaray, Manjusha Pandey

Series: Intelligent Biomedical Data Analysis

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Loot Price R4,406 Discovery Miles 44 060 | Repayment Terms: R413 pm x 12*

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This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

General

Imprint: De Gruyter
Country of origin: Germany
Series: Intelligent Biomedical Data Analysis
Release date: June 2020
First published: 2020
Editors: Rajshree Srivastava • Pradeep Kumar Mallick • Siddharth Swarup Rautaray • Manjusha Pandey
Dimensions: 170 x 240mm (L x W)
Format: Hardcover
Pages: 346
ISBN-13: 978-3-11-064782-2
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN: 3-11-064782-6
Barcode: 9783110647822

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