Cutting-edge technologies such as machine learning and big data analytics are thriving in the global tech market-making scientists and developers have a clear understanding of these concepts. Data science consists of the blend of deep learning and big data analytics 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, S.L. Aarthy, R. Vettriselvan, published in September 2021. This book on deep learning algorithms describes the technologies as well as the tools to streamline the concept and formation of deep learning and big data analytics.
This book on big data analytics and deep learning algorithms present how there is a potential to increase 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, fast information retrieval, and semantic indexing. It also provides insights on the skills to be a good data analyst, discussions on how these cutting-edge technologies help in decision-making processes efficiently and effectively.
The target audience of Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics is industry professionals, research scholars, simulation experts, and academics in the technical field. It has offered ten chapters from different authors such as D. Helen, C. Padmapriya, Anisha M. Lal, D. Aju, N. Anandh, S. Prabu, and many more. The chapters include big data, artificial intelligence, deep learning models, emerging applications of deep learning, emerging trends and research issues in deep learning with cloud computing and the role of deep learning in the healthcare industry.
There is a wide difference between deep learning and big data analytics in the field of technology. But, there is a relationship between the— applications of deep learning are the next big trends in big data analytics to generate meaningful and in-depth insights to meet customer satisfaction efficiently for a long period of time. The blend of both mechanisms is creating a tangible market in multiple industries across the world. This book will help to seek the relationship between these two in a concise manner.
