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.
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.
[Editor]