1.065 hasil untuk machine learning
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The Complete Patient: AI, Clinical Intelligence, and the Future of Predictive Medicine BY Srivenkata Gantikota
…the foundations of artificial intelligence in healthcare, the role of machine learning and deep learning in clinical decision-making, and the emergence of intelligent systems capable of supporting diagnosis, prognosis, and personalized treatment planning. Readers will discover how predictive…
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DATA SCIENCE AND NEURAL NETWORK
…like: 1. 1. Data Engineers 2. 2. Data Analysts 3. 3. Data Architect 4. 4. Machine Learning Engineer 5. Deep Learning Engineer What is the Data Science Process? The data science process gives a clear step-by-step framework to solve problems using data. It maps out how to go from a business issue to…
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ENTERPRISE AI: STRATEGIC BLUEPRINT FOR PURPLE PEOPLE
…responsible AI use, and the ongoing commitment to continuous learning and adaptation. The EAITF is designed to be dynamic, accounting for the rapid evolution in AI technology and its applications in the enterprise environment. In conclusion, the EAITF serves not only as a guidebook but also…
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SOLAR PV FAULT DETECTION AND DIAGNOSIS CONCEPTS AND TECHNIQUES by Mrs. J. Jerila Dr. C. Mythili
…thermal imaging, and more recently, artificial intelligence and machine learning. The book bridges fundamental theories with these modern approaches to equip readers with a holistic understanding of the subject. The scope of this work covers classification and characterization of faults, monitoring…
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Artificial Intelligence as A Strategic Bridge Between Marketing and HR Functions
…management. Particular attention is given to AI applications such as machine learning, predictive analytics, natural language processing, generative AI, recommendation systems, sentiment analysis, intelligent automation, and AI-enabled decision-support systems. Their applications in areas such as…
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Agentic AI for Manufacturing Data: Building Intelligent Systems That Query, Reason, and Act
…live in a separate quality system with its own part master. Machine telemetry sits in a process historian owned by the controls group. Eighty-seven registered datasets, roughly 3,600 tables, about 92,000 columns. The numbers stay consistent across all sixteen chapters, so a figure introduced in…
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The Administrative State and the Limits of Democracy: A Critique of the Theology of the Liberal Constitutional State
…carry out many governmental tasks, especially those operating through machine learning algorithms. Indeed, the shift toward automated administrative interaction on the internet with government over the past quarter-century heralds what may constitute a deeper and broader technological…
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Information Technology, Project Management & Organizational Efficiency With Cases and Examples
…to make things better, more convenient, easier, faster or cheaper. The learning curve tends to cause human kind to improve the “way” of doing things as they start doing it, which is a key driver for innovation. The inseparable interaction between society and technology has shaped people’s destiny…
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Narrative-Oriented AI Optimization for Air Cargo Scheduling: A Comparative Study of GA, ML, RL, and PSO
…of four artificial intelligence methods—Genetic Algorithms (GA), Machine Learning (ML), Reinforcement Learning (RL), and Particle Swarm Optimization (PSO)—based on actual flight transport data. These methods are compared across four key performance indicators (KPIs): total transport time, cost…
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Advanced Manufacturing of Composite Materials by Dr. Srinivasa Prasad Katrenipadu, Dr. Satish Pujari, Dr. Ananda Babu Varadala, Dr. Vijay Kumar Gangolu
…technologies such as 3D printing, intelligent manufacturing systems, and machine learning applications in composite engineering, which are shaping the next generation of advanced materials and processes. This book is primarily intended for undergraduate and postgraduate students of Mechanical…
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Artificial Intelligence in Sports Training and Analysis BY Dr. Nishant Kumar
…principles and gradually advancing toward real-world applications such as machine learning models, computer vision in sports analytics, and wearable technology integration. A key strength of this book lies in its accessibility. While it introduces complex technological ideas, it does so in a manner…
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DIGITAL FORENSICS: PRINCIPLES, TECHNIQUES, AND APPLICATIONS
…on forensic tools, automation, scripting, and the application of machine learning reflect current industry practices and emerging trends. Furthermore, the inclusion of case studies and practical investigations enables readers to connect conceptual knowledge with real investigative scenarios…
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Research Data Management - A Practical Introduction
…of data. We also explain how research data can be used and reused for machine learning and what requirements must be met for this. Finally, we explain secure ways of permanently storing data and provide helpful tips and references for finding further information. This is an updated Version 1.1 of…
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Biostatistics explored through Python A Practical Guide to Statistical Analysis in Biomedical Sciences
…classical statistical inference, flexible Bayesian computation, scalable machine learning, and reproducible software engineering within a single, readable, open-source ecosystem. This book was written to provide a comprehensive, hands-on guide that demystifies both the mathematical foundations and…
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Artificial Intelligence for Sustainable Development in Civil Engineering
…in the realm of civil engineering. We delve into the realms of machine learning, neural networks, and data analytics, demystifying these complex technologies to reveal their transformative capabilities. Through a series of case studies and real-world examples, we showcase how AI can revolutionize…
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Anais do XXXVIII Encontro Anual de Etologia & III Reunião de Biologia do Comportamento do Cone Sul
…uso de drones, imagem computacional, softwares de reconhecimento facial, machine learning , inteligência artificial, monitoramento e reconhecimento de vocalizações, pesquisas através de redes sociais, dentre outras formas pelas quais a tecnologia e a inovação possam auxiliar nas pesquisas e no…
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Generative AI and Emerging Technologies: Transforming Engineering, Innovation and Entrepreneurship
Chapter 1 : EVOLUTION OF GENERATIVE AI: FROM MACHINE LEARNING TO LARGE LANGUAGE MODELS - Dr. Rita Rani Chapter 2 : ARCHITECTURES BEHIND GENERATIVE AI: GANS, TRANSFORMERS AND DIFFUSION MODELS - Dr. Merin Thomas Chapter 3 : ETHICAL AI AND RESPONSIBLE INNOVATION IN THE AGE OF GENERATIVE SYSTEMS - Dr…
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EMERGING PERSPECTIVE IN PHYSICS
…has been devoted to emerging fields including artificial intelligence, machine learning, smart systems, renewable energy, biophysics, medical physics, and sustainable technologies. This integrated approach reflects the increasingly interdisciplinary nature of modern scientific research. A…
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Genetic Finance and Autonomous AI Agents: Transforming FinTech-Driven Financial Services through Intelligent Computing Systems
…insights into the application of genetic finance, autonomous AI agents, machine learning, evolutionary computing, blockchain integration, and intelligent fintech solutions in modern financial systems. The chapters included in this volume address emerging themes such as computational intelligence in…
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Introduction to Data Science BY Dr.Mamta Thakur,Prof.Anupa Pawar,Dr.Polasi Sudhakar,Dr.Srinivasan Nagaraj
…data visualization to the powerful methods of predictive analytics and machine learning. We emphasize not only the how, but also the why, ensuring that readers appreciate the mathematical and computational intuition behind algorithms. Throughout, code snippets and exercises encourage active…
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