1.065 hasil untuk machine learning
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ResNet Architectures and Applications: A Practical Guide From Theoretical Optimization Frameworks to Production PyTorch Architectures
…gradient degradation problem in ultra-deep networks, contemporary deep learning engineering has significantly extended the residual block beyond its original baseline. Today, residual principles govern optimization stability, feature representation, and architectural design across state-of-the-art…
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Fundamentals of Artificial Intelligence
…We started by explaining what AI is, its history, and its main areas like Machine Learning, Computer Vision, Natural Language Processing, Robotics, and Knowledge Engineering. We also saw how AI is used in real life such as in healthcare, finance, agriculture, education, and transportation, showing…
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The Future of Artificial Intelligence in Breast Cancer Diagnosis and Prognosis: Trends, Innovations, and Breakthroughs
…patient outcomes. This book delves into the fundamental principles of AI, machine learning, and deep learning as applied to oncology. It examines the integration of AI with medical imaging techniques such as mammography, ultrasound, and MRI, along with its applications in histopathological…
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Artificial Intelligence
…using probabilistic reasoning and Bayesian theory. In the domain of machine learning, the book covers learning techniques, including supervised, unsupervised, and reinforcement learning, along with neural network fundamentals. Special focus is given to expert systems, their architectures, shells…
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Inteligência Artificial - Redes Neurais (dos fundamentos às arquiteturas CNN e RNN)
Vivemos em uma era definida pela complexidade dos dados e pela busca por uma inteligência artificial cada vez mais avançada. No epicentro desta revolução está o Deep Learning, ou Aprendizagem Profunda, um subcampo do Machine Learning que permite aos sistemas emular o raciocínio humano por meio de…
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THE AI REVOLUTION IN MEDICINE
…readers will explore the intricacies of AI algorithms, neural networks, machine learning models, and their applications in diverse medical domains. The journey begins with an introduction to AI and machine learning, elucidating key concepts and types of AI systems. It then navigates through the…
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International Research in Engineering Sciences
…259 Performance Improvement With Optimization of Machine Learning Methods For Sleep Stage Classification From Eeg Signals Dr. Erdem TUNCER Prof.Dr. Emine Doğru BOLAT International Research in Engineering Sciences 5 CHAPTER 15…
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Proceedings of the 3rd Summer School on Cyber-Physical Systems and Internet-of-Things, Vol. III, 2022
…Axel Jantsch, Zhonghai Lu Embedded Machine Learning. .......................................................................... 471 Muhammad Shafique, Muhammad Abdullah Hanif Embedded Machine Learning for the Edge: From Algorithms to Architectures…
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Next-Gen AI and Data Science: Advanced Models, Intelligent Analytics, and Real-World Deployment
…and industry practitioners, covering topics such as advanced machine learning models, deep learning techniques, intelligent analytics, big data processing, natural language processing, computer vision, and real-world AI applications. A key focus of this book is to highlight the transition from…
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DEVELOPING AI AND ML APPLICATIONS USING PYTHON
Welcome to a captivating journey into the world of Artificial Intelligence (AI) and Machine Learning (ML) —two ground breaking technologies revolutionizing the modern era—along with the versatile programming language that powers them: Python . This book is designed to be your comprehensive guide to…
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Recent Advances in Artificial Intelligence, Mathematical Sciences and Statistical Data Science
…Mathematical Modelling, Numerical Analysis, Geometry and Topology, Deep Learning and Big Data, Machine Learning and Computer Network. All the submissions underwent strenuous peer review process which was comprised of expert reviewers. Each contribution has been carefully selected for inclusion…
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Data Analysis with Python: A Hands-On Guide by Dr. Sukurth Gowda M A,Mr. Subash N,Mr. Sai Kiran T S
…Your expertise in data science, Python programming, statistics, and machine learning has greatly enriched this book. Our appreciation also goes to the academic institutions, industry partners, and research organizations that supported this work by providing resources, encouragement, and…
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Informe complementario: Análisis estadístico comparativo multifuente para Optimización de Precios. Informe 20-IC (135/138)
…later (2019-2022), driven by new technological enablers like Big Data and machine learning. A key finding is the strong negative correlation between usability and satisfaction, suggesting an "adoption paradox." The tool has not become obsolete but has transformed from a failed universal solution…
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PENGANTAR INFORMATIKA: Konsep Dasar dan Aplikasi di Era Digital
…pembaca pada dunia kecerdasan buatan (AI) dan pembelajaran mesin (machine learning), diikuti Bab keduabelas yang membahas cloud computing serta virtualisasi. Akhirnya, Bab ketigabelas mengajak pembaca memahami tren digital mutakhir seperti IoT, blockchain, AR/VR, hingga metaverse, beserta isu etika…
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Generative AI Shaping the Future of Intelligence
…data-driven content generation models. It covers core concepts including machine learning fundamentals, neural networks, autoencoders, generative adversarial networks (GANs), diffusion models, and transformer-based architectures. The text further extends to multimodal generative systems…
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Introduction to Python Programming and Self-Study: A Continuum Mechanics Perspective
…such as FEniCS for the FEM, GMSH for mesh generation, and TensorFlow for machine learning. This booklet presents basic python concepts and syntax intricacies to introduce the reader into the minimally necessary programming skills to translate continuum mechanics problems into python code and, from…
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AI-Driven Sustainable Development: Interdisciplinary Research and Innovations
…practical applications, the book highlights emerging technologies such as machine learning, data analytics, intelligent systems, automation, and predictive modelling as powerful tools for creating sustainable and resilient societies. A key focus of the book is the need to balance technological…
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Mapping Crisis: Participation, Datafication and Humanitarianism in the Age of Digital Mapping
The digital age has thrown questions of representation, participation and humanitarianism back to the fore, as machine learning, algorithms and big data centres take over the process of mapping the subjugated and subaltern. Since the rise of Google Earth in 2005, there has been an explosion in the…
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AI-Driven Innovation in Finance, Entrepreneurship, and Sustainable Development
…The book examines how AI-driven technologies, data analytics, machine learning, automation, and intelligent decision-making are creating new opportunities while addressing emerging challenges across diverse sectors. In the field of finance, the book highlights applications of AI in financial…
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EL-RAKHAWI GRAND UNIFIED FRAMEWORK FOR THE GREEN STEEL REVOLUTION Integrating AI-Driven Hydrogen Metallurgy, Advanced Scrap Purification, and Global Geopolitical Strategy
…revolutionary pillars: (1) AI-Driven H2-DRI utilizing Physics-Informed Machine Learning (PIML) to predict and prevent pellet stickiness via real-time Stickiness Index (S_i) and Model Predictive Control, reducing H2 consumption by 15% and eliminating blockages; (2) Advanced EAF Scrap Purification…
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