A compelling unveiling of the transformation of Rajasthan from a feudal society into a vibrant democracyRajasthan, India’s largest state, is often imagined as a land of sweeping deserts, majestic forts and colourful traditions. Yet, beneath this picturesque surface lies a complex reality shaped by centuries-old feudal systems, deep-seated social divisions, the lingering influence of royal families and a volatile political landscape.In this insightful narrat...

This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge deep learning methodologies. It targets cloud-based advanced medical application developments using open-source Python-based deep learning libraries. It includes code snippets and sophisticated convolutional neural networks to tackle real-world problems in medical image analysis and beyond.Features:...

This book leverages statistical analysis, data mining, and machine learning techniques to address managerial and socioeconomic problems. With the advent of modern technologies, massive amount of data, especially big data, proliferate from business transactions and users. Consequently, there is an ever-increasing demand for analyzing the data and gaining valuable insights. This book comprises 15 chapters: the first ten chapters cover methods from Statistics and Econometrics, while the next ...

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as o...

This book is a collection of 20 chapters on chosen topics from cross-section and panel data econometrics. It explores both theoretical and practical aspects of selected cutting-edge techniques which are gaining popularity among applied econometricians, while following the motto of “keeping things simple”. Each chapter gives a basic introduction to one such method, directs readers to supplementary references, and shows an application. The book takes into account that—A: The field of econome...

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object ...

This book analyzes different perspectives around sustainable development, risk management and managing demand across various sectors in India. Diverse theories and analytical methods from various disciplines, as well as case studies, are brought together to present an in-depth study.The book discusses the challenges of achieving sustainability, the role of quantitative research to assess current scenarios, and the role of policy making to bring improvements in the Indian context. I...