Integrating deep learning algorithms to overcome challenges in big data analytics / edited by R. Sujatha, S.L. Aarthy, R. Vettriselvan.
Contributor(s): Sujatha, R. (Computer science professor) [editor.]
| Aarthy, S. L [editor.] | Vettriselvan, R [editor.].
Material type: 
BookSeries: Green engineering and technology: concepts and applications.Publisher: Boca Raton : CRC Press, 2022Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781003038450; 100303845X; 9781000454543; 1000454541; 9781000454536; 1000454533.Subject(s): Machine learning -- Industrial applications | Big data | Artificial intelligence -- Industrial applications | Algorithms | TECHNOLOGY / Manufacturing | COMPUTERS / Database Management / Data Mining | COMPUTERS / Artificial IntelligenceDDC classification: 006.3/1 Online resources: Taylor & Francis | OCLC metadata license agreement 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"-- Provided by publisher.
"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"-- Provided by publisher.
OCLC-licensed vendor bibliographic record.
There are no comments for this item.