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

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New Age Analytics - Transforming the Internet through Machine Learning, IoT, and Trust Modeling (Hardcover) Loot Price: R3,839
Discovery Miles 38 390
New Age Analytics - Transforming the Internet through Machine Learning, IoT, and Trust Modeling (Hardcover): Gulshan...

New Age Analytics - Transforming the Internet through Machine Learning, IoT, and Trust Modeling (Hardcover)

Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma

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Loot Price R3,839 Discovery Miles 38 390 | Repayment Terms: R360 pm x 12*

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This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more. This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Release date: August 2020
First published: 2021
Editors: Gulshan Shrivastava • Sheng-Lung Peng • Himani Bansal • Kavita Sharma • Meenakshi Sharma
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 344
ISBN-13: 978-1-77188-875-2
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 1-77188-875-X
Barcode: 9781771888752

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