Integrating deep learning algorithms to overcome challenges in big data analytics /
"Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data al...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
2022.
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| Edition: | First edition. |
| Series: | Green engineering and technology.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems. This book discusses how big data along with deep learning holds the potential to significantly increase data understanding and decision making. It also covers numerous applications in healthcare, education, communications, media, and the entertainment industry. The book offers innovative platforms for integrating big data and deep learning and presents issues related to adequate data store, sematic indexing, data tagging, and fast information retrieval. The audience includes industry professionals, academic professors, research scholars, system modelling, and simulation experts"-- |
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| Physical Description: | 1 online resource (xii, 204 pages) : illustrations (chiefly color). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003038450 100303845X 9781000454543 1000454541 9781000454536 1000454533 |