Advancement of Data Processing Methods by Seema Rawat (.PDF)

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File Size: 36.7 MB

Advancement of Data Processing Methods for Artificial and Computing Intelligence by Seema Rawat, V. Ajantha Devi, Praveen Kumar
Requirements: .PDF reader, 36.7 MB
Overview: This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today’s fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People’s perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and Data Science, this cutting-edge technology is ready to support us. Artificial Intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data Science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of Big Data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms.
Genre: Non-Fiction > Tech & Devices

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