Practical Applications of Data Processing, Algorithms, and Modeling - Hardcover

Hardcover

ISBN 13: 9798369329092

Publisher: IGI Global, 2024

Synopsis

In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights. Tailored for a diverse audience, this book serves as an indispensable resource for data scientists, students, researchers, professionals in various industries, and enthusiasts. Whether you're seeking to deepen your expertise or embarking on a journey into the field, the book addresses the pervasive issue of the gap between theoretical understanding and practical application. Covering a broad spectrum of topics, from fundamental principles to ethical considerations, it offers a comprehensive blend of foundational knowledge, practical applications, and advanced concepts. This book is not just about theories; it is about solving the real-world problem faced by individuals across different skill levels and professional backgrounds, ensuring that the untapped potential of data-driven innovation becomes a reality.

About this title

About the Authors

Pawan Whig is affiliated with Vivekananda Institute of Professional Studies.

Sachinn Sharma is currently teaching at the School of Computer Applications, MRIIRS.

Seema Sharma is currently a professor at the School of Computer Applications, MRIIRS.

Anupriya Jain is a professor at the School of Computer Applications, MRIIRS in India.

Nikhitha Yathiraju is currently affiliated with the University of Cumberlands.

Edition details

• Publisher: IGI Global
• Publication date: 2024
• Language: English
• ISBN 13: 9798369329092
• Binding: Hardcover
• Number of pages: 313
• Editor: Whig Pawan, Sharma Sachinn, Sharma Seema, Jain Anupriya, Yathiraju Nikhitha