Editors: Dumpala Shanthi, B. Madhuravani, Ashwani Kumar

Handbook of Artificial Intelligence

eBook: US $69 Special Offer (PDF + Printed Copy): US $117
Printed Copy: US $83
Library License: US $276
ISBN: 978-981-5124-52-1 (Print)
ISBN: 978-981-5124-51-4 (Online)
Year of Publication: 2023
DOI: 10.2174/9789815124514123010001


Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector.

This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more.

Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context.

Audience: Students and instructors in artificial intelligence, data science, engineering and computer science courses


Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep Learning are creating a paradigm shift in virtually every tech industry sector. Coming to machine learning, an in-built branch of AI, has changed the shape of the emerging world…!! It’s not a mere exaggeration to say that ML has taken living abilities and standards a step forward. Machine learning is an application of artificial intelligence (AI) that allows systems to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The process of Learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow computers to learn automatically without human intervention or assistance and adjust actions accordingly.

This book covers the fundamental concepts and techniques in Artificial Intelligence, Machine Learning and Soft Computing in detail. The main focus is on real-time applications of AI, ML and Soft computing. As AICTE introduced emerging technology courses under UG Program, authors realized that there are no proper textbooks to teach students with practical orientation. The sequence of the book has been set in an appropriate manner to make it easy for students and teachers to understand concepts. The book provides insights into AI, ML and Soft computing and their applications in core areas like Agriculture, Smart Cities, Environment, etc., which impact society and their vital role in the development of the nation.

Dumpala Shanthi
Maturi Venkata Subba Rao Engineering College, Nadurgul(v)
Hyderabad, Telangana

B. Madhuravani
Marri Laxman Reddy Institute of Engineering and Technology, Dundigal
Hyderabad, Telangana


Ashwani Kumar
Sreyas Institute of Engineering and Technology
New Delhi