1,065 results for machine learning
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The Binary Soul.
…own hallucinations. They didn’t treat the model as a theory they were learning; they treated it as a source code they were recalling. We call this the AI Adoption Phenomenon. For a human, the concept of a “Ghost Pool”—a swirling ocean of unresolved potential—is a poetic metaphor for the future. But…
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ARTIFICIAL INTELLIGENCE
…an essential skill in AI applications where precision is elusive. Machine Learning and Deep Learning, covered in two dedicated sections, are at the heart of modern AI. These areas have seen remarkable advances, enabling AI systems to recognize patterns, learn from data, and make predictions. We…
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3D IMAGING NEUROSCIENCE AND SEPSIS RESEARCH: MODERN METHODS AND TECHNOLOGICAL ADVANCES
…in sepsis research, focusing on predictive analytics, early detection, machine learning, deep learning models, ethical considerations, and future challenges and directions in AI applications. Our aim is to provide researchers and clinicians with an in-depth understanding of new microscopy…
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Trust-Based Security for IoT Networks
…chapters explore trust evaluation techniques, reputation management, machine learning and AI-driven trust assessment, and lightweight security mechanisms for resource-constrained devices. The integration of advanced technologies such as blockchain and trust-aware routing protocols is also…
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The Cognitive Attack Surface: Algorithmic Curation, Neuro-Metabolic Constraints, and the Jurisprudence of Mental Integrity
…& Cryptographic Governance: Designs and analyzes Zero-Knowledge Machine Learning (zkML) architectures utilizing Groth16 and KZG polynomial commitments to prove feed compliance with statutory cognitive constraints without requiring platforms to leak proprietary model weights or violate end-user…
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PREDICTIVE ANALYTICS IN INVESTMENT AND PORTFOLIO MANAGEMENT
…in investment and portfolio management. By leveraging statistical models, machine learning algorithms, and vast amounts of structured and unstructured data, financial professionals are increasingly moving beyond intuition-driven decisions toward data-driven insights. This shift is not merely a…
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BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
…mechanical stimuli. From finite element methods to agent-based models and machine learning–enabled simulations, the modelling strategies covered in this book represent the evolving toolkit of the mechanobiologist. Coupled with experimental validation and biological relevance, these approaches are…
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Artificial Intelligence and Indian Laws: A Constitutional, Statutory and Sectoral Journey
…in addressing emerging legal questions surrounding autonomous systems and machine learning technologies. Finally, the book adopts a sectorial lens, exploring the application and implications of AI in key domains like, governance, and criminal justice. These sectors present unique regulatory…
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AL & ML Using With Python
Welcome to a thrilling journey through the world of Artificial Intelligence (AI) and Machine Learning (ML), two of the most transformative technologies of our time, and the versatile programming language that powers them – Python. This book is your entry point to understanding how Python has become…
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BIOINTELLIGENCE: THE BASICS OF AI IN BIOLOGICAL SCIENCES VOl-I
…integration. We begin by exploring the fundamentals of AI, including machine learning, neural networks, and data analysis techniques, providing a solid grounding for those new to the field. Following this, we delve into the core principles of biological sciences, ensuring that readers from an AI…
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Advancements in Maritime Security: Exploring Emerging Technologies
…From unmanned maritime systems and satellite surveillance to machine learning algorithms and blockchain solutions, the authors present a compelling narrative that showcases how these tools can be harnessed to create a safer and more secure maritime environment. Each chapter of this book offers a…
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Advanced Power System Stability BY Dr. V.S.Vakula,Dr. Pudi Sekhar,Mr. P. Anil Kumar
…and distributed generation systems Artificial intelligence and machine learning applications in stability prediction As a multi-author compilation, this book reflects diverse research insights while maintaining structural coherence and academic rigor. Each chapter has been carefully reviewed and…
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Foundations of Data Science BY ai Srinivas Vellela, Lavanya Dalavai, Sravanthi Javvadi, Dasthavejula Roja
…growth of data, coupled with the advances in computational power and machine learning techniques, has made it essential to develop systematic foundations that empower both learners and practitioners to engage with this interdisciplinary area. It is within this academic and professional context that…
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GRAPH THEORY AND APPLICATIONS
…mathematics with emerging technologies such as Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Internet of Things, Blockchain, and Cybersecurity creates new opportunities for graph-theoretical research. Consequently, the concepts presented in this book can provide a…
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CONSUMER BEHAVIOUR IN THE AGE OF ARTIFICIAL INTELLIGENCE
…predictive consumer analytics, voice commerce, and the growing role of machine learning in marketing decision-making.Special attention has been given to emerging trends that characterize the modern digital marketplace. Topics such as consumer trust in AI systems, ethical implications of algorithmic…
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The Reflexivity Gap: Borrowed Quantitative Instruments, Non-Stationary Systems, and the Institutional Limits of Prediction in Finance
…The final chapters extend the framework to alternative data and to machine learning in finance, where reflexivity takes the form of model homogeneity and procyclical feedback. They derive implications for supervisors, central banks and investors. Volume VI of The Gap Series. A replication package…
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FUNDAMENTAL OF ARTIFICIAL INTELLIGENCE
…— one that prepares them to further explore specialized AI domains like machine learning, natural language processing, robotics, and cognitive computing. Whether you're a student preparing for an academic course, an aspiring AI practitioner, or simply a curious mind, this book aims to equip you…
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CYBERSECURITY AND THE PROTECTION OF INFORMATION SYSTEMS
…risk management, adaptive contextual strategies, and the emerging role of machine learning in identifying and countering cyber threats. By integrating academic research, industry standards, and real-world case studies, Cyber Security and Secure Information Systems provides a well-rounded…
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Artificial Intelligence: A Case Study of Business Process Outsourcing in Jamaica
…Automation (RPA) (used to automate repetitive and time-consuming tasks), Machine Learning (ML) (helping analyze large data sets), and Natural Language Processing (NLP) (used to extract insights from unstructured data and make recommendations for projection) as a new way to boost efficiency in…
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Next-Generation Cancer Treatment Using Digital Twins
…model of the patient’s disease. Artificial intelligence (AI), machine learning, and advanced simulations can then help researchers and clinicians explore how the cancer might respond to different therapeutic strategies. One of the most significant advantages of digital twins is their potential to…
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