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This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background;
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Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;
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Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts;
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Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;
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Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;
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modeling problems using the most popular machine learning Java libraries Explore data processing, machine learning, and NLP concepts using JavaML;
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authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework;
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authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework;
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Forecast using machine learning and deep learning techniques such as GBM and LSTM (long short-term memory) Who This Book Is ForData Scientists;
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detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and;
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This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;
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Reconstruct a 3D scene from images Explore face detection using deep learning Who this book is forIf you're a CV developer or professional who already;
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and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning;
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Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and;
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Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies;
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to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools;
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including all types of Fourier transform, basic speech enhancement techniques, voice activity detection and pitch estimation using sub harmonic-to;
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This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and;
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