Integrating deep learning algorithms to overcome challenges in big data analytics / edited by R. Sujatha, S.L. Aarthy, R. Vettriselvan.
- 其他作者：
- 其他題名：
- Green engineering and technology: concepts and applications.
- 出版： Boca Raton, FL : CRC Press 2022.
- 叢書名： Green engineering and technology: concepts and applications
- 主題： Machine learning--Industrial applications. , Big data. , Artificial intelligence--Industrial applications. , Algorithms. , Algorithms. , Artificial intelligence--Industrial applications. , Big data. , Machine learning--Industrial applications.
- ISBN： 9780367466633 (hbk.) :: NT$3401 、 0367466635 (hbk.) 、 1032104465 (pbk.) 、 9781032104461 (pbk.)
- 一般註：Includes bibliographical references and index.
-
讀者標籤：
- 系統號： 005172357 | 機讀編目格式
館藏資訊
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.
摘要註
"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".