A Guide to Artificial Intelligence and Machine Learning
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Home > Computing and Information Technology Books > Business applications > Mathematical and statistical software > A Guide to Artificial Intelligence and Machine Learning: Applications and Future Perspectives
A Guide to Artificial Intelligence and Machine Learning: Applications and Future Perspectives

A Guide to Artificial Intelligence and Machine Learning: Applications and Future Perspectives


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About the Book

Artificial Intelligence (AI) and Machine Learning (ML) are the forces behind the most transformative 21st-century technological innovations. From revolutionizing diagnosis in healthcare and optimizing logistics to powering smart language models and predictive systems, they are reshaping the limits of what machines can do. The speed and extent of AI and ML's impact create the demand for an integrated, multidisciplinary knowledge base that can exist as a reference cornerstone and a real-time guide.This book is a strongly selective anthology featuring the newest research, practical applications, and visionary views from international experts, researchers, and professionals. This book aims to bridge the gap between theoretical knowledge and practical application, offering readers a close integration of theoretical basics and application-driven innovations.What makes this book stand out is that it is not only concerned with pointing out what AI and ML can do, but also how they are being practically implemented into systems that impact daily life, governance, and scientific discovery. The book also paves the way for further research, acting as a beacon of light for researchers, students, professionals, and policymakers attempting to unlock the full potential of intelligent technologies.

About the Author :
Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India, and continues to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji HealthCare Pvt. Ltd., he has demonstrated his expertise in leveraging revolutionary technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the healthcare landscape. He has authored several influential academic papers on public health and digital health, which were published in prestigious international journals. Dr Keshav Kaushik is a distinguished cybersecurity and digital forensics expert, currently serving as an Associate Professor at the Sharda School of Computer Science & Engineering, Sharda University, Greater Noida, India. With over 170 publications, including 30 peer-reviewed SCI/SCIE/Scopus-indexed journal articles and 50+ Scopus-indexed conference papers, he has established himself as a leading researcher. Dr Vikas Khullar is currently working as an Associate Professor at the Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. He has 15 years of experience in research and academia. Dr Khullar has completed his PhD in Computer Science and Engineering. He has published more than 80 publications.


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Product Details
  • ISBN-13: 9781036475727
  • Publisher: Cambridge Scholars Publishing
  • Publisher Imprint: Cambridge Scholars Publishing
  • Edition: Unabridged edition
  • Language: English
  • Sub Title: Applications and Future Perspectives
  • ISBN-10: 1036475727
  • Publisher Date: 01 Aug 2026
  • Binding: Hardback
  • Height: 212 mm
  • No of Pages: 379
  • Width: 148 mm


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