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Engineering Science Reference - Deep Learning Big Data Book

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Description

As interest in big data and the Internet of Things (IoT) grows within the scholarly community, the need for effective data analysis becomes more urgent. This book addresses the historical problems of connectivity, scalability, and privacy that have affected big data since its inception. By exploring how deep learning algorithms help process these digital challenges, this text provides a foundation for understanding new architectures in the field. It serves as a resource for those studying how to parse and analyze massive datasets to facilitate better information exchange in a modern digital world.

Key Features

This book from Engineering Science Reference explores the relationship between big data and the Internet of Things (IoT).

Learn how deep learning algorithms help address long-standing issues in connectivity, scalability, and privacy.

The text examines how algorithms are constructed to parse and analyze data for improved information exchange.

This resource focuses on the development of new architecture to manage complex digital data challenges.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 October 2020
Listed Since
15 October 2020

Barcode

No barcode data available

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