359.866 hasil untuk machine learning
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Buku
Introduction to Machine Learning
This introduction to machine learning covers numerous concepts such as linear algebra, calculus, probability theory, optimization, matrix inversion, vector spaces, determinants, indices, partial derivatives, gradients in differentiation, and Jacobian and Jacobian functions. The text provides an…
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INTRODUCTION TO MACHINE LEARNING
Welcome to "Introduction to Machine Learning," a collaborative effort from a diverse group of authors, each bringing unique perspectives and expertise to the fascinating world of machine learning. As we stand at the intersection of computer science, mathematics, and data analysis, machine learning…
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Buku
MACHINE LEARNING IN HEALTHCARE
…will make it possible to compile medical data into massive repositories. Machine learning may then be used to the data obtained from these massive archives in order to forecast and get an understanding of patterns across geographical places. The computational obstacles that are preventing the…
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Buku
Advanced Machine Learning Algorithms
This book offers a comprehensive introduction to sophisticated machine learning algorithms, including their fundamentals, common applications, and the most current developments in the field. A number of different areas, including as deep learning, reinforcement learning, ensemble methods, and…
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Tinker-ing with Machine Learning: The Legality and Consequences of Online Surveillance of Students
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Control Charts and Machine Learning for Anomaly Detection in Manufacturing
International audience
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Explainable and interpretable models in computer vision and machine learning
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like…
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Design sous artifice : la création au risque du machine learning
…ont tendance à se polariser sur le remplacement des humains par la machine. Ce faisant, ils font écran à la question essentielle : quel est le spectre des implications actuelles et potentielles du machine learning pour les pratiques de design ?
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Machine Learning Support for Fault Diagnosis of System-on-Chip
…diagnosis. However, with the fast development and vast application of machine learning (ML) in recent years, ML-based techniques have been shown to be highly valuable for diagnosis. They can be used for volume diagnosis after manufacturing to improve production yield or for diagnosis of customer…
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Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach
…geographical features. We developed a three-stage model using XGBoost, a machine learning algorithm, to quantify the probability of COVID-19 occurrence and estimate the number of potential occurrences for unaffected counties. Finally, these results were combined to predict the county-level risk…
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A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture
PURPOSE: We aim to present an unsupervised machine learning application in anterior cruciate ligament (ACL) rupture and evaluate whether supervised machine learning-derived radiomics features enable prediction of ACL rupture accurately. PATIENTS AND METHODS: Sixty-eight patients were reviewed…
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The rise of scientific machine learning: a perspective on combining mechanistic modelling with machine learning for systems biology
Both machine learning and mechanistic modelling approaches have been used independently with great success in systems biology. Machine learning excels in deriving statistical relationships and quantitative prediction from data, while mechanistic modelling is a powerful approach to capture knowledge…
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