MASTERING PROLOG: FROM LOGIC TO WEB APPLICATIONS

In recent years, the fields of AI, Machine Learning, Deep Learning, have seen significant advancements, profoundly impacting various industries and aspects of daily life. As educators and researchers deeply involved in these cutting-edge areas, we are pleased to present this book, which aims to serve as a comprehensive guide and resource for students, professionals, and enthusiasts alike.

This book is the culmination of extensive research and practical experience from a diverse team of authors, each bringing a wealth of knowledge and unique perspectives to the table. Our collective expertise spans across different facets of computer science and engineering, ensuring a holistic and in-depth exploration of the subject matter.

Srinivasulu (Ph.D), an Assistant Professor at BVRIT HYDERABAD College of Engineering for Women, brings a profound understanding of Machine Learning and Deep Learning. His contributions focus on the theoretical foundations and practical applications of these technologies, providing readers with a robust framework to build upon.

Dr. B. Venkataramana, an Associate Professor in the Department of CSE (Data Science) at Holy Mary Institute of Technology and Science, offers valuable insights into the integration of data science methodologies within the broader scope of computer science. Her expertise enriches the discussion on data-driven approaches and the evolving landscape of data science.

Sukhaveerji Ghate (Ph.D), an Assistant Professor at Sumathi Reddy Institute of Technology for Women, specializes in AIML. His work emphasizes the importance of visual data analysis and the transformative potential of image processing techniques in various applications, from medical imaging to autonomous vehicles.

Prabhanjan Yadav (Ph.D), also an Assistant Professor at Sumathi Reddy Institute of Technology for Women, contributes his extensive research experience in both AIML and Deep Learning. His interdisciplinary approach bridges the gap between theoretical concepts and real-world applications, making complex topics accessible and relevant.

This book is designed to cater to a wide audience, from undergraduate and graduate students embarking on their academic journey to seasoned professionals seeking to deepen their understanding of the latest developments in these fields. Each chapter is meticulously structured to provide clarity, foster curiosity, and encourage further exploration.

We hope this book serves as a valuable resource, inspiring readers to delve deeper into the fascinating world of Machine Learning, Deep Learning, and Image Processing. As the field continues to evolve, we remain committed to advancing knowledge and fostering innovation, and we invite you to join us on this exciting journey.