1.065 hasil untuk machine learning
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Abhijeet Sarkar's The Superintelligence Blueprint: A Critical Analysis of AI Governance, Ethics, Strategic Foresight, Safety, Alignment, Arms Races, and Architectures
…of an "intelligence explosion," suggesting that an "ultraintelligent machine" capable of far surpassing human intellectual activities could design even better machines, leading to a rapid and potentially uncontrollable increase in intelligence.1 Good emphasized that the risks associated with such a…
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Data Mining in the Era of Big Data and AI BY Dr. G. Ravi, Dr. D. Radha, Dr. Madduru Sambasivudu, Ms. Bharathi Niruti
…clustering, association rule mining, predictive analytics, machine learning integration, deep learning approaches, big data frameworks, and real-world case studies. Special emphasis is given to scalable data mining techniques using platforms such as Hadoop, Spark, and cloud-based analytics…
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Python3によるデータ処理の基礎 (Fundamentals of Data Processing with Python 3: pandas, NumPy, SciPy, matplotlib, and SQL Databases)
[Fundamentals of Data Processing with Python 3: pandas, NumPy, SciPy, matplotlib, and SQL Databases] This book is an introductory textbook for learning the fundamentals of data processing with Python through hands-on programming exercises. It is intended primarily for undergraduate and graduate…
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ADVANCED CORPORATE FINANCE AND STRATEGIC ANALYTICS
…predictive modeling, big data analytics, artificial intelligence, and machine learning techniques in financial management. Special emphasis has been placed on the growing role of analytics in enhancing corporate performance and supporting evidence-based decision-making. Readers will gain insights…
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AI in Smart Waste Management: Tools and Applications.
…of smart waste management and the specific AI disciplines—such as Machine Learning, Deep Learning, Computer Vision, and Robotics—that are transforming the sector. It then delves into practical applications, beginning with waste collection, where AI powers real-time waste level monitoring in smart…
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Algorithmic Heartbeats: Affective Education in the Age of the Fourth Revolution
…those who enthusiastically embrace the total automation of knowledge and learning processes. While public debate remains largely stalled on issues of computational capacity, the real challenge unfolds on the terrain of empathy. If we return to Alan Turing’s reflections on imitative capacity, an…
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Navigating the Age of Artificial Intelligence: An Analysis of Generation Beta: A Guide to Parenting the First AI-Native Generation
…but also by interactions with personalized AI companions, adaptive learning platforms, and intelligent home ecosystems.2 This deep integration of technology from the very beginning distinguishes Generation Beta from previous generations. While Millennials were considered digital pioneers who grew…
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CODE & STETHOSCOPE: NAVIGATING AI IN EVERYDAY CLINICAL PRACTICE
…relevance to clinical practice. It discusses how technologies such as machine learning, natural language processing, predictive analytics, clinical decision-support systems, and medical imaging applications can assist healthcare professionals in managing increasingly complex clinical information…
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Social Ecology of Governance: The Concept of Government Science for Sustainability and Justice
…markets, and the natural environment—rather than as a purely technical machine driven by dashboards and formal compliance. Written by Muhammad Abduh, Derriansya Putra Jaya, and Husyam, the book positions “government science” as a field that must constantly negotiate the tensions between science…
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INNOVATIONS IN DIGITAL IMAGE PROCESSING
…used in modern image processing and large-scale data management through machine learning. The content is designed to help readers appreciate both the theoretical foundations and practical significance of these rapidly evolving technologies. Students, researchers, and professionals from diverse…
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No Brain Is Broken. Annette Karmiloff-Smith and the Making of the Neurodiverse Mind
…and situates neuroconstructivism in relation to contemporary debates on machine learning and artificial intelligence. Written for an international readership, this book makes Karmiloff-Smith's work accessible in a language where it has remained largely unavailable, and is directed at researchers…
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CONTEMPORARY MEDICINE AND HEALTHCARE IN THE DIGITAL ERA
…attention is given to the contributions of artificial intelligence, machine learning, big data analytics, digital imaging, and remote patient monitoring in facilitating informed clinical decisions and advancing personalized healthcare. Alongside these developments, the digital transformation of…
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Capitalizing on AI: Your Guide to the Artificial Intelligence Revolution.
…ourselves in another wave of AI enthusiasm, fueled by advancements in machine learning, natural language processing, and other cognitive technologies. This time, however, something feels different. AI is no longer confined to research labs; it's rapidly infiltrating businesses across all sectors…
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Robotic Operating System
…validate their designs before deployment. Advanced topics such as ROS2, machine learning integration, cloud robotics, and multi-robot systems are also explored, keeping readers up-to-date with emerging trends in robotics. Through a mix of theoretical insights and hands-on projects, this book serves…
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Exploring Mind, Culture and Science
…unrelated. The book integrates insights from neuroscience, cybernetics, machine learning, physics, anthropology, meteorology, economics, cultural theory, and civilizational analysis, demonstrating that diverse systems often follow the same morphological grammar. A-UGST identifies a set of universal…
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COMPUTER INTEGRATED MANUFACTURING
…book also reflects on critical advancements like artificial intelligence, machine learning, and the Internet of Things (IoT), which are shaping the future of manufacturing. Moreover, it emphasizes the importance of flexibility, efficiency, sustainability, and innovation in the modern manufacturing…
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PRINCIPLES OF ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE GUIDE by Naresh Babu Kilaru
…landscape. Subsequent chapters cover the building blocks of AI, including machine learning, neural networks, natural language processing, and computer vision. I have also included discussions on ethical considerations, future directions, and the socio-economic impact of AI—a topic that grows in…
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Referring expression generation in context: Combining linguistic and computational approaches
…development steps. An experimental analysis of various feature-based machine learning models reveals that those with a concise set of linguistically-informed features can rival models with more features. Furthermore, this work highlights the importance of paragraph-related concepts, an area…
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ESReDA Webinar - DMAD and SKILLS4EII Meeting and Research Seminar
…A central feature is the integration of Human-in-the-Loop (HITL) machine learning, enabling both practitioners and students to engage with realistic industrial scenarios, including shoe dismantling value chains and surgical workflows in hospital settings. The third contribution, from Scuola…
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EMERGING INNOVATIONS IN MODERN MEDICINE AND HEALTHCARE
…contemporary healthcare challenges. Artificial intelligence and machine learning are supporting medical data analysis and diagnostic processes, while telemedicine is expanding access to healthcare services in remote and underserved regions. Advances in genetic research and precision medicine are…
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