A Book Review on Integrating Deep Learning Algorithms to Overcome the Challenges of Big Data Analysis, edited by R. Sujatha, SL Aarthy, R. Vettriselvan
by Disha Sinha
October 4, 2021
Cutting-edge technologies such as machine learning and big data analytics are thriving in the global tech market, scientists and developers have a clear understanding of these concepts. Data science is about blending deep learning and big data analysis to generate meaningful insights in this data-driven world. Thus, this is a book review on Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics, edited by R. Sujatha, SL Aarthy, R. Vettriselvan, published in September 2021. This book on algorithms for deep learning describes the technologies as well as the tools to streamline the concept and training of deep learning and big data analytics.
This book on big data analysis and deep learning algorithms presents the potential for improving data understanding and decision making. Big Data enthusiasts can gain knowledge of multiple applications such as healthcare, education, communication and many more. This book on deep learning algorithms offers innovative platforms as well as issues regarding data storage, data tagging, rapid information retrieval, and semantic indexing. It also provides insight into the skills needed to be a good data analyst, discussions on how these advanced technologies contribute to decision-making processes effectively and efficiently.
The target audience for integrating deep learning algorithms to overcome the challenges of big data analytics is industry professionals, researchers, simulation experts and academics in the technical field. . He offered ten chapters from different authors such as D. Helen, C. Padmapriya, Anisha M. Lal, D. Aju, N. Anandh, S. Prabu and many others. The chapters include big data, artificial intelligence, deep learning models, emerging applications of deep learning, emerging trends and deep learning research issues with cloud computing and the role of cloud computing. deep learning in the health sector.
There is a big difference between deep learning and big data analysis in technology. But, there is a relationship between the applications of deep learning are the next major trends in big data analysis to generate meaningful and in-depth information to effectively meet customer satisfaction for a long time. The mixture of the two mechanisms creates a tangible market in several industries around the world. This book will help to research the relationship between these two in a concise manner.
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