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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analy...

Description: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics, Hardcover by Sujatha, R. (EDT); Aarthy, S. L. (EDT); Vettriselvan, R. (EDT), ISBN 0367466635, ISBN-13 9780367466633, Brand New, Free shipping in the US "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. Th 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"--

Price: 161.45 USD

Location: Jessup, Maryland

End Time: 2024-11-13T05:04:02.000Z

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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analy...

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Book Title: Integrating Deep Learning Algorithms to Overcome Challenges in Bi

Number of Pages: 204 Pages

Publication Name: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Language: English

Publisher: CRC Press LLC

Publication Year: 2021

Subject: Intelligence (Ai) & Semantics, General, Manufacturing, Databases / Data Mining

Type: Textbook

Item Weight: 19.9 Oz

Author: S. L. Aarthy

Item Length: 9.2 in

Subject Area: Computers, Technology & Engineering, Science

Series: Green Engineering and Technology Ser.

Item Width: 6.1 in

Format: Hardcover

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