Machine Learning for SE: Techniques, Tools, and Applications

Machine Learning for Software Engineering: Techniques, Tools, and Applications" is a comprehensive guide that delves into the transformative potential of machine learning in the field of software engineering. From leveraging predictive analytics to improve software quality and reliability to optimizing development processes through data-driven insights, this book offers a deep dive into the latest techniques, tools, and applications shaping the future of software development.

Autorentext

Dr. Amar Saraswat, Ph.D., is currently associated with K. R. Mangalam University, Gurugram and is an esteemed expert in the field of Computer Science, specializing in Artificial Intelligence, Machine Learning, and Deep Learning. With a wealth of knowledge and experience, Dr. Saraswat focuses his research on the transformative role of AI.