Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics (Hardcover)

Provides insight into the skill set that requires leveraging strength to move further to act as a good data analyst Discusses how big data along with deep learning holds the potential to significantly increase data understanding and in turn, helps to make decisions Covers the numerous potential applications in healthcare, education, communications, media, and the entertainment industry Offers innovative platforms for integrating big data and deep learning Presents issues related to adequate data storage, sematic indexing, data tagging, and fast information retrieval from big data

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Green Engineering and Technology
Release date:	September 2021
First published:	2022
Editors:	R. Sujatha • S. L. Aarthy • R. Vettriselvan
Dimensions:	234 x 156 x 18mm (L x W x T)
Format:	Hardcover
Pages:	204
ISBN-13:	978-0-367-46663-3
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > Computer hardware & operating systems > Supercomputers Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-367-46663-5
Barcode:	9780367466633

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