Neelu Jyothi Ahuja – författare

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networksDiscusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualizationExamines how cloud computing enhances scalability, efficiency and automation in data analyticsShowcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and educationThis book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

The book examines the integration of IoT, Blockchain, and Smart Healthcare, providing a comprehensive analysis of these advanced technologies and their impact on the healthcare industry. It offers practical examples of how Blockchain and IoT devices can be used to address real-world healthcare challenges and overcome the hurdles of implementing them in the healthcare sector.IoT, Blockchain, and Smart Healthcare: Integration Techniques and Case Studies provides a detailed exploration of how these technologies are combined, giving readers a deep understanding of their role in revolutionizing healthcare. It explores the practical applications of Blockchain and IoT devices in solving healthcare problems and addresses the challenges of incorporating these technologies into healthcare systems. The book also provides practical guidance on implementing cutting-edge methodologies, enabling readers to apply theoretical knowledge in real-world situations effectively.By bridging the gap between technology and healthcare, this book makes complex concepts understandable to a wide audience, including healthcare professionals, researchers, technology enthusiasts, and policymakers.

This book focuses on the sustainable security practices in the domain of blockchain, quantum, and post-quantum technologies dealing with the real-time applications.

This book focuses on the sustainable security practices in the domain of blockchain, quantum, and post-quantum technologies dealing with the real-time applications.

This book comprehensively covers sustainable blended learning approach in each of the STEM (science, technology, engineering and mathematics) disciplines. The book also includes the compilation of detailed concepts of blended learning ranging from definition, need, features, models, advantages and disadvantages and comparisons with traditional face-to-face learning. Sustainable blended learning in K-12 education has an immense role as foundation to learning for students in their early education. Fostering creativity and inculcating problem solving and critical thinking skills are the integral aspect of STEM education, which encourages students to pursue them to for their future careers. This book presents recent practices taken by experts at various levels to promote education in STEM. Furthermore, impact over teacher–student relationships is analyzed. Lastly, sustainable frameworks, strategies and implementation to incorporate students with additional needs are explored.