1.065 hasil untuk machine learning
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Buku
AI as Humanity's Second Immune System A Comprehensive Guide to AI-Driven Vaccine Development and Precision Medicine
This work presents a comprehensive computational framework envisioning AI as an extension of humanity's adaptive immune system. Using advanced machine learning and bioinformatics pipelines, we demonstrate in-silico vaccine design for autoimmune diseases, multidrug-resistant pathogens, and…
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AI-POWERED PREDICTIVE ANALYTICS FOR INTELLIGENT DECISION SUPPORT SYSTEMS
…guide to navigating this transition, blending the technical rigor of machine learning with the pragmatic needs of modern industrial and academic decision-making. In an increasingly complex world, the scope of global systems—spanning healthcare, finance, and manufacturing—has begun to exceed the…
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Revolutionizing Decision Support Systems through AI-Integrated Predictive Intelligence
…guide to navigating this transition, blending the technical rigor of machine learning with the pragmatic needs of modern industrial and academic decision-making. In an increasingly complex world, the scope of global systems—spanning healthcare, finance, and manufacturing—has begun to exceed the…
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AUTONOMOUS ROBOTICS THROUGH DETERMINISTIC (NON-ITERATIVE) ARTIFICIAL INTELLIGENCE: AUTONOMY THROUGH STRUCTURE. INTELLIGENCE THROUGH DETERMINISTIC EQUILIBRIUM.
Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative search, repeated…
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Compiler Design
…evolving landscape of compiler research, covering emerging trends like machine learning-driven optimization and energy-aware compilation. Serving as both a learning resource and reference, this work bridges the gap between abstract programming language theory and practical software engineering…
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ADVANCEMENTS IN BIOINFORMATICS
Anyone with an interest in learning about cutting-edge methods to adopt in biological science with artificial intelligence techniques in order to improve their result findings in medical fields for the benefits of the patients using bioinformatics technics. Scientific innovation in the patient…
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The Digital Frontier: Exploring Computer Science Innovations
…to understand, whether you're a computer fanatic or just interested in learning how technology affects our everyday lives. We cover a wide range of subjects, including cloud computing, cybersecurity, and artificial intelligence and machine learning. You'll learn how websites and applications…
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3D PRINTING AND ITS APPLICATIONS
Anyone with an interest in learning about cutting-edge methods to adopt in manufacturing of a component with innovative 3D printing techniques in order to improve their production of a component in rapid pace. Scientific innovation in the manufacturing, which is used to develop and employ…
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Introduction to Statistical Methods
…Statistical knowledge is also essential for the emerging field such as Machine Learning, Deep Learning and Artificial intelligence. This book deals with the statistical methods such as Probability, Sampling, Correlation, Regression and Hypothesis Testing and non-parametric tests and advanced…
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ARTIFICIAL INTELLIGENCE-DRIVEN DATA ANALYTICS AND DECISION SUPPORT SYSTEMS
…tasks typically associated with human intelligence. It facilitates the learning process from data, identifies patterns, and enables decision-making to address intricate challenges. AI finds applications across various sectors, including healthcare, finance, e-commerce, and transportation, by…
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NATURAL LANGUAGE PROCESSING BY Dr.Vaishali P.Khobragade,Dr.Aakunuri Manjula,Dr.Rekha Gangula
…nature of the field, spanning linguistics, computer science, machine learning, and cognitive science, and addressing theoretical, practical, and ethical dimensions. We have aimed to present the breadth and depth of NLP, covering classical methods alongside modern advances such as deep learning…
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Calculus and Linear Algebra - Fundamentals and Applications: For Data Scientists and AI Professionals
…them to optimization, including the gradient descent method used to train machine-learning models. Part four develops integration and connects it to probability and statistics. Part five include infinite sequences and series. Two supplementary chapters include mathematical concepts applied on…
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Physical fitness and healthcare
…adaptive health recommendations. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions capable of bridging this gap. This introduction explores the purpose, background, and relevance of building an AI-enabled activity recognition and fitness recommendation…
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Physical fitness and healthcare
…adaptive health recommendations. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions capable of bridging this gap. This introduction explores the purpose, background, and relevance of building an AI-enabled activity recognition and fitness recommendation…
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Buku Teks lengkap
AI and IoT in 6G Antenna Technology
…beamforming, spectrum management, adaptive signal processing, and machine learning-based optimization techniques. It examines how AI and IoT can enhance antenna performance, connectivity, energy efficiency, reliability, and real-time network intelligence. The book also discusses emerging…
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The Microbiome-Immune Axis in Precision Cancer Therapy an Artificial Intelligence-Driven Approach
…in precision cancer therapy. By integrating artificial intelligence and machine learning approaches, the book demonstrates how complex biological data from microbiome profiles, immune markers, and clinical outcomes can be analyzed to optimize personalized cancer treatments. It discusses AI-driven…
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Real-Time Circadian Biomarker Integration: Wearable AI Systems for Dynamic Treatment Optimization in Neurodegeneration
…response trajectories. It highlights emerging sensor technologies, machine-learning frameworks for biomarker fusion, clinical relevance, and ethical considerations in patient-centred monitoring. Designed for researchers, clinicians, and technologists, the book presents a forward-looking framework…
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Advanced Computer Vision with OpenCV 4
…Camera calibration and 3D vision techniques Integration patterns with machine-learning frameworks Performance optimization strategies for CPU and GPU Development tools and best practices for OpenCV projects Project structure and maintenance guidelines
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Linear Algebra
…developments, including data science, artificial intelligence, and machine learning. This book was written to provide students with a clear, systematic, and meaningful introduction to the fundamental concepts of Linear Algebra. It aims to develop learners’ conceptual understanding, computational…
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Nanorobots in Medicine: Intelligent Navigation Inside the Human Body
This book was written to guide readers through one of the most fascinating frontiers of modern science: the navigation of nanorobots inside the human body. Unlike conventional medical tools, nanorobots face a living environment full of complexity, unpredictability, and constant motion. To succeed…
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