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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Book Details

Format Paperback / Softback
ISBN-10 1032104465
ISBN-13 9781032104461
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 4th, 2024
Print length 204 Pages
Weight 317 grams
Ksh 9,350.00
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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.

Data science revolves around two giants: 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 as well as Deep Learning systems.

This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval.

FEATURES

  • Provides insight into the skill set that leverages one’s strength to act as a good data analyst
  • Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making
  • Covers numerous potential applications in healthcare, education, communication, media, and entertainment
  • Offers innovative platforms for integrating Big Data and Deep Learning
  • Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data

This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.


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