The accelerating advancement of machine learning has reoriented the manner in which we interact with data, make decisions, and tackle challenges. What was previously a specialized field of computer science is now a groundbreaking force for change in the markets and sciences. The concept of Machine Learning for the Real World: Applications and Insights originated from the understanding that true progress is not just about creating complex algorithms but also about using them to deliver real-world solutions.
This book is a selected set of research contributions that encapsulate the applied spirit of machine learning. Each chapter embodies the imagination, intensity, and innovative spirit of its authors and illustrates how machine learning can be applied in various disciplines. The focus lies in connecting theoretical models with their practical applications so that readers can gain conceptual illumination as well as practical insights.
We wish this book to act as both scholarly reference and inspiration for further investigation. It is meant for professionals, scholars, and students interested in learning how machine learning is transforming the current and future.
I seize this moment to thank sincerely the authors for their tireless efforts, my institution and colleagues for their encouragement, and the publishing staff for assisting in bringing this vision to reality.
It is my conviction that the chapters in this book will not only enhance readers' comprehension of machine learning but also inspire new concepts for its ethical and effective use in the real world.
Edited by
Prof. Sheela S Maharajpet
Department of MCA, Acharya Institute of Technology, Bangalore – 560107, India.
Dr. Manish Kumar Thakur
Department of MCA, Acharya Institute of Technology, Bangalore – 560107, India.
ISBN 978-81-999106-5-2 (Print)
ISBN 978-81-999106-0-7 (eBook)
DOI: https://doi.org/10.9734/bpi/mono/978-81-999106-5-2
The accelerating advancement of machine learning has reoriented the manner in which we interact with data, make decisions, and tackle challenges. What was previously a specialized field of computer science is now a groundbreaking force for change in the markets and sciences. The concept of Machine Learning for the Real World: Applications and Insights originated from the understanding that true progress is not just about creating complex algorithms but also about using them to deliver real-world solutions.
This book is a selected set of research contributions that encapsulate the applied spirit of machine learning. Each chapter embodies the imagination, intensity, and innovative spirit of its authors and illustrates how machine learning can be applied in various disciplines. The focus lies in connecting theoretical models with their practical applications so that readers can gain conceptual illumination as well as practical insights.
We wish this book to act as both scholarly reference and inspiration for further investigation. It is meant for professionals, scholars, and students interested in learning how machine learning is transforming the current and future.
I seize this moment to thank sincerely the authors for their tireless efforts, my institution and colleagues for their encouragement, and the publishing staff for assisting in bringing this vision to reality.
It is my conviction that the chapters in this book will not only enhance readers' comprehension of machine learning but also inspire new concepts for its ethical and effective use in the real world.
Ratnakirti Roy, Shaikh Adnan Shaikh Arif
Rajendra M. Jotawar, Prajwal C K, Rakshitha B
Sheela S Maharajpet, Shivi Dixit, Hrishikesh Sharma
Manish Kumar Thakur, Nikee Kumari
Rajendra M. Jotawar, Lohith S
Sheela S Maharajpet, Sonam Bhandurge, Ankush V Gudigar
Sumit Singha Chowdhury, Abhijan S Kashyap