This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embe...

Build and deploy machine learning and deep learning models in production with end-to-end examples.This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and trai...

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classificat...

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges.You'll start by reviewing PySpark fundamentals, such as Spark’s core architecture, and see how to use PySpark for big data processing like data ingestion, cleaning, and transformations techniques. This is followed by building workflows for ...

Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems.Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along...

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark.Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regr...

This book offers a solutions-driven exploration of how blockchain can practically advance global sustainability and circular economy goals. It uniquely integrates technological, ethical, and environmental dimensions, making blockchain innovations accessible beyond finance. Covering fundamentals, real-world applications in waste management, and global adoption trends, the book bridges the gap between theory and sustainable practice. Designed for researchers, industry professionals, policyma...

The book “New Generation Advanced Materials for Regenerative Development” introduces the readers into the world of next generation of materials with their futuristic applications to serve the mankind. The range of advanced materials includes waste derived carbon nanomaterials, bio-materials, green and biogenic metal chalcogenides, 2D chalcogenides, MOFs, COFs, and non-toxic perovskites. All these materials possess divine qualities and have been researched to be made free from any delinquen...

The semantic annotation of edge and fog computing services is increasingly vital for enhancing discovery and automation in decentralized environments. As these architectures become more complex and dynamic, integrating blockchain technology offers a solution to ensure secure management of service metadata. This integration not only enhances trust in service descriptions but also supports decentralized governance and access control. By using semantic technologies alongside blockchain, this ...

Explainable AI for Transparent and Trustworthy Medical Decision Support equips readers with a comprehensive and timely resource that presents the principles, methodologies, and real-world applications of explainable AI (XAI) within the medical context. Covering a wide range of use cases—from radiology and pathology to genomics and clinical decision support systems—the book provides in-depth discussions on how XAI techniques can enhance interpretability, improve clinician trust, meet regula...

Brain-computer interfaces (BCIs) represent a transformative frontier in neurorehabilitation, offering treatment for individuals recovering from neurological injuries and disorders. By linking the brain’s activity to external devices, BCIs enable communication and control without relying on the body’s motor pathways, a powerful tool for patients affected by neurodegenerative diseases. Through real-time monitoring and adaptive feedback, these systems promote neural plasticity and accelerate ...

Modern health informatics manage large volumes of sensitive data while maintaining accuracy, security, and trust. Emerging computational models and data architectures offer new ways to address these demands by improving how information is replicated, validated, and shared across systems. By combining advances in quantum cloning with blockchain solutions, healthcare data systems can move toward more resilient models of data integrity and controlled accessibility. Further exploration may res...