1.065 hasil untuk machine learning
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Buku Teks lengkap
Essentials of Data Engineering
…of downstream data consumers such as analysts, data scientists, and machine learning engineers. The core concept of this book revolves around the data engineering lifecycle: data generation, storage, ingestion, transformation, and serving. Despite the ever-changing landscape of specific…
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Trends and Transformations in Dentistry
…integration bring to this ancient practice. From the use of AI and machine learning to the development of biocompatible materials and the emergence of minimally invasive techniques, this book offers a comprehensive overview of how these elements are revolutionizing the way dentists diagnose, treat…
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Advance Research in Mathematical Statistical and Computational Sciences
…Series Equations Containing Jacobi Polynomials; Data Analytics using Machine Learning; and Housing Demand Model in Urban Central Regions of Uttar Pradesh.
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Data Warehousing and Data Mining : Concepts and Practical Techniques for IT Professionals
…modeling, the book offers practical insights supported by statistical and machine learning frameworks. This volume is an essential guide for learners and practitioners aiming to master data-driven strategies in today's data-centric industries.
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Emerging Computer Technologies
…fifth and last chapter proposes a disaster management system utilising machine learning called DT-DMS that is used to support decision-making mechanisms.
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Artificial Intelligence in Education: Principles, Applications, Challenges, and Future Perspectives
…pathways that promise to reshape those methods at scale while also making learning more personal, timely, and relevant. This book Artificial Intelligence in Education: Principles, Applications, Challenges, and Future Perspectives offers a comprehensive guide to that transformation. It is written…
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AI IN DISASTER MANAGEMENT
…(AI) in disaster management. It examines how AI technologies—including machine learning, deep learning, computer vision, natural language processing, robotics, and expert systems—are being applied across all phases of the disaster management cycle: mitigation, preparedness, response, and recovery…
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Causal Calculus: The Foundations
While modern machine learning and statistical models excel at pattern recognition, they remain fundamentally trapped on the lowest rung of the ladder of causation: observation. They map correlations but fail to discover the underlying mechanisms that govern reality. Causal Calculus: Volume 1…
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ALGORITHMS BY Mr.S. Manikandan,Mr.R.Srinivasan Balu,Mrs.S. Seethalakshmi,Dr.P.Senthil Pandian
…design to advanced topics such as dynamic programming, graph theory, and machine learning algorithms. Each chapter is crafted to provide a balanced blend of theory and practice, with clear explanations, illustrative examples, and hands-on exercises to reinforce key concepts. Whether you're a…
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Converging Innovations in Intelligent Science and Technology
…reinforced cement concrete, Internet of Things, neurobiology and learning, cybersecurity awareness, FACTS devices, machine learning, medicinal chemistry, power system protection and fault analysis, and basic electronics. These contributions provide insights into both established principles and…
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Intelligent Frontiers in Emerging Technologies: AI, Sustainability, and Multidisciplinary Innovations
…twin technologies, adaptive control systems, cyber-physical security, machine learning, deep learning, smart healthcare, natural product chemistry, and sustainable concrete technology. It also includes perspectives on educational innovation and the integration of heritage and the Indian Knowledge…
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Designing an AI-Based Career Counseling System
…An AI-based career counseling system is an advanced tool that leverages machine learning algorithms and data analysis to help users identify suitable career paths. By collecting and analyzing individual information such as interests, skills, experiences, and personality traits, the system provides…
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NEXT-GENERATION CYBER SECURITY: AI-DRIVEN THREAT INTELLIGENCE AND DEFENSE SYSTEMS
…an authoritative roadmap for integrating Artificial Intelligence and Machine Learning into the core of modern defensive architectures. To guide researchers, practitioners, and advanced students through this complex domain, the text is structured systematically into five distinct thematic phases. It…
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AI, Chemical Innovation and Mathematical Models in Contemporary Biomedical Research
…MATLAB implementations enable practical application of hybrid ODE-machine learning approaches for forecasting and control. Chapter 3: "Smart Algorithms in Chemistry: AI-Driven Drug Design and Discovery" translates mathematical principles into computational chemistry, detailing machine learning…
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From Data to Decision: Engineering Scalable Analytics Systems by Naga Hemanth Badabagni
…ingestion and storage to transformation, processing, visualization, machine learning, and decision support. It presents the engineering principles, architectural patterns, and operational practices necessary to build robust analytics platforms capable of serving enterprise-scale workloads. The…
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Advanced Operating Systems: Distributed, Parallel, and Secure Architectures by Dr.Adapa Gopi
…computing, the final unit introduces AI-based resource scheduling, machine learning for operating systems, reinforcement learning, autonomous and self-healing operating systems, self-optimizing kernels, Digital Twin-based operating systems, IoT and Edge AI operating systems, quantum operating…
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Generative AI for Accurate DNA Binding Protein Prediction Using Computer Vision
…The approach combines algorithms like Generalized Support Vector Machine (GSVM), Generative Adversarial Networks (GAN), and Deep Convolution GANs (DCGAN) to model both sequence patterns and structural features. GSVM offers a solid baseline by classifying binding affinities with an accuracy of 89%…
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Applied Public Health Nutrition Epidemiology
…strategies, and data analysis approaches, extending into big data and machine learning. The book further explores vital public health nutrition topics, presenting the latest evidence on diet in relation to non-communicable diseases (NCDs) and major infectious diseases. It highlights high-impact…
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Generative AI
…the fundamentals of generative models, tracing their evolution from early machine learning techniques to advanced architectures such as GANs, VAEs, diffusion models, and large language models (LLMs) . It explains how these systems learn patterns, mimic creativity, and generate text, images, music…
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Economic Evaluation of Artificial Intelligence Integration in Global Healthcare: Balancing Costs, Outcomes, and Investment Value
…analysis explores the integration of AI technologies, including machine learning, natural language processing, robotics, and decision support systems, across diverse clinical and administrative applications. It examines key economic concepts such as cost-effectiveness, value-based care, and return…
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